2025
Ibrahim, Mossab; Gervás, Pablo; Méndez, Gonzalo
CST-Onto: An Ontological Framework for Culturally-Grounded Narrative Generation in Arabic Proceedings Article Forthcoming
In: Thirteenth International Conference on Knowledge Capture K-CAP 2025, ACM ACM, Forthcoming.
@inproceedings{ibrahim2025kcap,
title = {CST-Onto: An Ontological Framework for Culturally-Grounded Narrative Generation in Arabic},
author = {Mossab Ibrahim and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2025},
date = {2025-12-10},
urldate = {2025-12-10},
booktitle = {Thirteenth International Conference on Knowledge Capture K-CAP 2025},
publisher = {ACM},
organization = {ACM},
abstract = {Contemporary Arabic narrative generation faces a critical cultural authenticity crisis, where neural models systematically violate classical adab principles despite sophisticated linguistic capabilities. We introduce CST-Onto, a hybrid neuro-symbolic framework addressing this challenge through the first domain-specific OWL/SWRL ontology for Arabic cultural narratives. Our four-tier ontology encodes 87 core cultural archetypes from expert annotations of Kal\={i}la wa Dimna and One Thousand and One Nights [13], expanded to 847 specialized concepts through systematic derivation protocols. The framework formalizes 234 SWRL rules modeling virtue dependencies (e.g., \d{h}ak\={i}m → \d{h}ilm, ʿadl, fa\d{s}\={a}\d{h}a) that directly enhance symbolic-neural integration via constraint-aware neural decoding. Our constraint-injection algorithm maintains sub-28 ms/token latency on NVIDIA V100 GPUs across 1,000 narrative segments, enabling real-time cultural schema enforcement. Evaluation using our novel CRAFT benchmark demonstrates substantial improvements: across 120 native Arabic speakers, we report role coherence (= 0.89), moral-causality consistency (= 0.83), and dialectal authenticity (= 0.92) using validated classifier methodologies. CST-Onto outputs achieved 78% human preference in pairwise comparisons (\< 0.001) against baseline models, representing a 21% improvement in cultural fidelity.},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Contemporary Arabic narrative generation faces a critical cultural authenticity crisis, where neural models systematically violate classical adab principles despite sophisticated linguistic capabilities. We introduce CST-Onto, a hybrid neuro-symbolic framework addressing this challenge through the first domain-specific OWL/SWRL ontology for Arabic cultural narratives. Our four-tier ontology encodes 87 core cultural archetypes from expert annotations of Kalīla wa Dimna and One Thousand and One Nights [13], expanded to 847 specialized concepts through systematic derivation protocols. The framework formalizes 234 SWRL rules modeling virtue dependencies (e.g., ḥakīm → ḥilm, ʿadl, faṣāḥa) that directly enhance symbolic-neural integration via constraint-aware neural decoding. Our constraint-injection algorithm maintains sub-28 ms/token latency on NVIDIA V100 GPUs across 1,000 narrative segments, enabling real-time cultural schema enforcement. Evaluation using our novel CRAFT benchmark demonstrates substantial improvements: across 120 native Arabic speakers, we report role coherence (= 0.89), moral-causality consistency (= 0.83), and dialectal authenticity (= 0.92) using validated classifier methodologies. CST-Onto outputs achieved 78% human preference in pairwise comparisons (< 0.001) against baseline models, representing a 21% improvement in cultural fidelity.
Ibrahim, Mossab; Gervás, Pablo; Méndez, Gonzalo
MM-GTA: Morphological Modeling via Graph-based Text Adaptation for Arabic Dialect Transfer Proceedings Article Forthcoming
In: Thirteenth International Conference on Knowledge Capture (K-CAP 2025), ACM ACM, Forthcoming.
@inproceedings{mossab2025mmgta,
title = {MM-GTA: Morphological Modeling via Graph-based Text Adaptation for Arabic Dialect Transfer},
author = {Mossab Ibrahim and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2025},
date = {2025-12-10},
urldate = {2025-12-10},
booktitle = {Thirteenth International Conference on Knowledge Capture (K-CAP 2025)},
publisher = {ACM},
organization = {ACM},
abstract = {Arabic text adaptation confronts severe computational barriers from morphological complexity and dialectal fragmentation. Current graph-based methods employ static representations that fail to capture evolving morphological dependencies, causing substantial semantic degradation (28.0% cross-dialectal error rate) across dialectal boundaries.
We introduce MM-GTA (Morphological Modeling via Graphbased Text Adaptation), the first dynamic-graph framework for Arabic style transfer that jointly optimizes morphological dynamism, dialect-conditioned attention, and cultural-adaptive resource fusion (dialect-aware embedding compression). MM-GTA introduces dynamic graph reconstruction and dialect-conditioned attention, reducing cross-dialect errors by 55.8% versus AraT5 (from 28.0% to 12.3%).},
keywords = {},
pubstate = {forthcoming},
tppubtype = {inproceedings}
}
Arabic text adaptation confronts severe computational barriers from morphological complexity and dialectal fragmentation. Current graph-based methods employ static representations that fail to capture evolving morphological dependencies, causing substantial semantic degradation (28.0% cross-dialectal error rate) across dialectal boundaries.
We introduce MM-GTA (Morphological Modeling via Graphbased Text Adaptation), the first dynamic-graph framework for Arabic style transfer that jointly optimizes morphological dynamism, dialect-conditioned attention, and cultural-adaptive resource fusion (dialect-aware embedding compression). MM-GTA introduces dynamic graph reconstruction and dialect-conditioned attention, reducing cross-dialect errors by 55.8% versus AraT5 (from 28.0% to 12.3%).
We introduce MM-GTA (Morphological Modeling via Graphbased Text Adaptation), the first dynamic-graph framework for Arabic style transfer that jointly optimizes morphological dynamism, dialect-conditioned attention, and cultural-adaptive resource fusion (dialect-aware embedding compression). MM-GTA introduces dynamic graph reconstruction and dialect-conditioned attention, reducing cross-dialect errors by 55.8% versus AraT5 (from 28.0% to 12.3%).
Macías, Leonardo; Villar, Alejandro; Sancho, Pilar; Méndez, Gonzalo
ADARVE-LLM: Using LLM-Agents as Intelligent Tutors to Train Security Forces in Radiological Protection Proceedings Article
In: Second Workshop on "eXtended Reality & Intelligent Agents" (XRIA25) @ ECAI25, 2025.
@inproceedings{MendezXRIA2025,
title = {ADARVE-LLM: Using LLM-Agents as Intelligent Tutors to Train Security Forces in Radiological Protection},
author = {Leonardo Mac\'{i}as and Alejandro Villar and Pilar Sancho and Gonzalo M\'{e}ndez},
url = {https://nil.fdi.ucm.es/wp-content/uploads/2025/07/XRIA2025_ADARVE_LLM_TUTOR.pdf
https://drive.google.com/file/d/141i8hqqzJHhsNjFiIhYp_Rm0WUDqvpgy/view?usp=sharing},
year = {2025},
date = {2025-10-25},
urldate = {2025-10-25},
booktitle = {Second Workshop on "eXtended Reality \& Intelligent Agents" (XRIA25) @ ECAI25},
abstract = {This paper describes the design of a system that combines Virtual Reality, Intelligent Agents and Large Language Models to create a training environment for the management of small radiological emergencies that allows students to communicate fluently with the tutor agent. The system is comprised of a VR environment where the user must face a basic radioactive emergency. This environment has been designed following the Cognitive Theory of Multimedia Learning. The student is supported by an intelligent tutor that makes use of LLMs to enhance the communication with the student. This tutor has been designed using a multiagent system that is in charge of supervising the students, answering their questions and providing a human supervisor with reports about the training sessions. Although the system has yet to be further tested, initial evaluations with both expert and final users show a high degree of acceptance and a high success rate in the communication between users and the tutor.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
This paper describes the design of a system that combines Virtual Reality, Intelligent Agents and Large Language Models to create a training environment for the management of small radiological emergencies that allows students to communicate fluently with the tutor agent. The system is comprised of a VR environment where the user must face a basic radioactive emergency. This environment has been designed following the Cognitive Theory of Multimedia Learning. The student is supported by an intelligent tutor that makes use of LLMs to enhance the communication with the student. This tutor has been designed using a multiagent system that is in charge of supervising the students, answering their questions and providing a human supervisor with reports about the training sessions. Although the system has yet to be further tested, initial evaluations with both expert and final users show a high degree of acceptance and a high success rate in the communication between users and the tutor.
Ibrahim, Mossab; Gervás, Pablo; Méndez, Gonzalo
NarrativeMind: A Dynamic Neural-Symbolic Decoder for Culturally-Authentic Arabic Story Generation Proceedings Article
In: Proceedings of the 31st International Conference on Cooperative Information Systems (CoopIS2025), Scitepress, 2025.
@inproceedings{ibrahim2025narrativemind,
title = {NarrativeMind: A Dynamic Neural-Symbolic Decoder for Culturally-Authentic Arabic Story Generation},
author = {Mossab Ibrahim and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
url = {https://nil.fdi.ucm.es/wp-content/uploads/2025/10/NarrativeMind-CoopIS2025.pdf
https://www.insticc.org/Primoris/api/TechnicalProgram/DownloadBookofAbstract?id=4009},
year = {2025},
date = {2025-10-21},
urldate = {2025-10-21},
booktitle = {Proceedings of the 31st International Conference on Cooperative Information Systems (CoopIS2025)},
publisher = {Scitepress},
abstract = {We introduce NarrativeMind, a previously-unexplored cooperative neural-symbolic decoder in Arabic NLP that dynamically injects dialect-specific cultural constraints during generation. Our approach achieving +3.5 BLEU improvement over AraBERT (from 26.3 to 29.8) while reducing MSA bias by 58%, addressing the critical gap where traditional Arabic narrative systems inadequately capture the rhetorical sophistication embedded in morphologically complex literary forms. The hybrid architecture seamlessly integrates classical Arabic structures into BLOOMZ’s decoding through weighted interpolation, preserving essential rhetorical devices. For instance, it maintains (saj´) patterns in (wisdom in words, blessing in currency) and (jinas¯ ) wordplay as demonstrated in (the speaker said to the killer). Unlike rigid frameworks, NarrativeMind adapts fluidly across Modern Standard Arabic and six regional dialects, particularly benefiting under-resourced Maghrebi varieties. Our real-time multi-dialect collaboration employs adaptive constraint weighting, optimizing both BLEU coherence and our novel CulturalScore metric. This metric derives from 2,500 expert-annotated templates spanning classical (maqam¯ at¯ ) to contemporary (h. ikay¯ at sha´biyya ¯ ), ensuring comprehensive cultural representation. MADAR corpus evaluation (n=12,000) demonstrates substantial improvements: BLEU scores reached 29.8 ± 0.4 versus 27.1 ± 0.3 for baselines, with dialectal accuracy achieving κ = 0.76 compared to 0.70. Human evaluation involving 15 linguists and 185 native speakers validates 82.5% cultural authenticity (p \< 0.01), confirming effective cross-regional story co-creation while preserving dialectal integrity.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We introduce NarrativeMind, a previously-unexplored cooperative neural-symbolic decoder in Arabic NLP that dynamically injects dialect-specific cultural constraints during generation. Our approach achieving +3.5 BLEU improvement over AraBERT (from 26.3 to 29.8) while reducing MSA bias by 58%, addressing the critical gap where traditional Arabic narrative systems inadequately capture the rhetorical sophistication embedded in morphologically complex literary forms. The hybrid architecture seamlessly integrates classical Arabic structures into BLOOMZ’s decoding through weighted interpolation, preserving essential rhetorical devices. For instance, it maintains (saj´) patterns in (wisdom in words, blessing in currency) and (jinas¯ ) wordplay as demonstrated in (the speaker said to the killer). Unlike rigid frameworks, NarrativeMind adapts fluidly across Modern Standard Arabic and six regional dialects, particularly benefiting under-resourced Maghrebi varieties. Our real-time multi-dialect collaboration employs adaptive constraint weighting, optimizing both BLEU coherence and our novel CulturalScore metric. This metric derives from 2,500 expert-annotated templates spanning classical (maqam¯ at¯ ) to contemporary (h. ikay¯ at sha´biyya ¯ ), ensuring comprehensive cultural representation. MADAR corpus evaluation (n=12,000) demonstrates substantial improvements: BLEU scores reached 29.8 ± 0.4 versus 27.1 ± 0.3 for baselines, with dialectal accuracy achieving κ = 0.76 compared to 0.70. Human evaluation involving 15 linguists and 185 native speakers validates 82.5% cultural authenticity (p < 0.01), confirming effective cross-regional story co-creation while preserving dialectal integrity.
Méndez, Gonzalo; Gervás, Pablo
Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest Proceedings Article
In: 17th International Conference on Agents and Artificial Intelligence (ICAART2025), pp. 693-703, 2025, ISBN: 2184-433X.
@inproceedings{mendez2025heating,
title = {Heating up Interactions in an Agent-Based Simulation to Ensure Narrative Interest},
author = {Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
url = {https://www.scitepress.org/publishedPapers/2025/133088/pdf/index.html
https://nil.fdi.ucm.es/wp-content/uploads/2025/07/ICAART2025-ucm.pdf},
doi = {10.5220/0013308800003890},
isbn = {2184-433X},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
booktitle = {17th International Conference on Agents and Artificial Intelligence (ICAART2025)},
volume = {2},
pages = {693-703},
abstract = {Multi-agent systems have become important sources of inspiration for narrative generation systems, withsignificant growth in solutions based on story sifting: identifying the subset of events generated by sucha system that is worthy of being told as a story. Existing systems simulate the romantic behaviour of agentsbased on simple rules that consider models of social norms and relations, and the evolution of affinities betweenagents. The present paper describes an extension to one such simulation that inserts several sources of conflictbetween characters to induce more interesting situations that allows the creation of more engaging stories. Thesystem is empirically shown to give rise with much higher scores on metrics for narrative interest},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Multi-agent systems have become important sources of inspiration for narrative generation systems, withsignificant growth in solutions based on story sifting: identifying the subset of events generated by sucha system that is worthy of being told as a story. Existing systems simulate the romantic behaviour of agentsbased on simple rules that consider models of social norms and relations, and the evolution of affinities betweenagents. The present paper describes an extension to one such simulation that inserts several sources of conflictbetween characters to induce more interesting situations that allows the creation of more engaging stories. Thesystem is empirically shown to give rise with much higher scores on metrics for narrative interest
Ibrahim, Mossab; Gervás, Pablo; Méndez, Gonzalo
SAHDA: A Semantic-Aware Hybrid Approach for Arabic Spell Checking with Domain Adaptation Proceedings Article
In: 12th International Conference on Information Technology (ICIT2025), pp. 343–348, IEEE IEEE, 2025, ISBN: 9798331508944.
@inproceedings{ibrahim2025sahda,
title = {SAHDA: A Semantic-Aware Hybrid Approach for Arabic Spell Checking with Domain Adaptation},
author = {Mossab Ibrahim and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
url = {https://ieeexplore.ieee.org/abstract/document/11049091/
https://nil.fdi.ucm.es/wp-content/uploads/2025/10/SAHDA-ICIT2025.pdf},
doi = {10.1109/ICIT64950.2025.11049091},
isbn = {9798331508944},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
booktitle = {12th International Conference on Information Technology (ICIT2025)},
pages = {343\textendash348},
publisher = {IEEE},
organization = {IEEE},
abstract = {Arabic spell checking faces inherent linguistic challenges due to its complex word structures and ambiguous spellings, where roots generate diverse forms and identical spellings mask multiple meanings.
Current systems often prioritize technical accuracy over contextual understanding, struggling to preserve regional dialects or resolve semantic ambiguities. This paper introduces SAHDA, a hybrid framework that bridges computational methods with human linguistic expertise. By combining rule-based error detection, neural semantic analysis, and collaborative humanAI refinement, SAHDA addresses both structural errors and meaning-based ambiguities in written Arabic. Key innovations include context-aware dialect preservation to maintain regional linguistic diversity and adaptive learning techniques that enable efficient customization for specialized domains. Evaluations demonstrate SAHDA’s ability to resolve ambiguous terms and dialectal variations more effectively than existing approaches while minimizing overcorrection of valid regional expressions. As an open-source tool, the framework advances inclusive language technology by harmonizing standardization with dialectal richness\textemdash a critical advancement for supporting Arabic’s diverse written traditions in the digital age.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Arabic spell checking faces inherent linguistic challenges due to its complex word structures and ambiguous spellings, where roots generate diverse forms and identical spellings mask multiple meanings.
Current systems often prioritize technical accuracy over contextual understanding, struggling to preserve regional dialects or resolve semantic ambiguities. This paper introduces SAHDA, a hybrid framework that bridges computational methods with human linguistic expertise. By combining rule-based error detection, neural semantic analysis, and collaborative humanAI refinement, SAHDA addresses both structural errors and meaning-based ambiguities in written Arabic. Key innovations include context-aware dialect preservation to maintain regional linguistic diversity and adaptive learning techniques that enable efficient customization for specialized domains. Evaluations demonstrate SAHDA’s ability to resolve ambiguous terms and dialectal variations more effectively than existing approaches while minimizing overcorrection of valid regional expressions. As an open-source tool, the framework advances inclusive language technology by harmonizing standardization with dialectal richness— a critical advancement for supporting Arabic’s diverse written traditions in the digital age.
Current systems often prioritize technical accuracy over contextual understanding, struggling to preserve regional dialects or resolve semantic ambiguities. This paper introduces SAHDA, a hybrid framework that bridges computational methods with human linguistic expertise. By combining rule-based error detection, neural semantic analysis, and collaborative humanAI refinement, SAHDA addresses both structural errors and meaning-based ambiguities in written Arabic. Key innovations include context-aware dialect preservation to maintain regional linguistic diversity and adaptive learning techniques that enable efficient customization for specialized domains. Evaluations demonstrate SAHDA’s ability to resolve ambiguous terms and dialectal variations more effectively than existing approaches while minimizing overcorrection of valid regional expressions. As an open-source tool, the framework advances inclusive language technology by harmonizing standardization with dialectal richness— a critical advancement for supporting Arabic’s diverse written traditions in the digital age.
Gervás, Pablo; León, Carlos; Kumar, Mayuresh; Méndez, Gonzalo; Bautista, Susana
Prompting an LLM Chatbot to Role Play Conversational Situations for Language Practice Proceedings Article
In: 17th International Conference on Computer Supported Education (CSEDU2025), pp. 257–264, INSTICC Scitepress, 2025, ISSN: 2184-5026.
@inproceedings{gervas2025prompting,
title = {Prompting an LLM Chatbot to Role Play Conversational Situations for Language Practice},
author = {Pablo Gerv\'{a}s and Carlos Le\'{o}n and Mayuresh Kumar and Gonzalo M\'{e}ndez and Susana Bautista},
url = {https://nil.fdi.ucm.es/wp-content/uploads/2025/10/CSEDU2025.pdf
https://www.scitepress.org/Papers/2025/132354/132354.pdf},
doi = {10.5220/0013235400003932},
issn = {2184-5026},
year = {2025},
date = {2025-01-01},
urldate = {2025-01-01},
booktitle = {17th International Conference on Computer Supported Education (CSEDU2025)},
volume = {2},
pages = {257\textendash264},
publisher = {Scitepress},
organization = {INSTICC},
abstract = {Chatbots based on Large Language Models (LLMs) have demonstrated a remarkable ability to engage in conversations that are linguistically correct and make sense from a pragmatic point of view. A significant trait of their proven abilities is that, using verbal instructions provided as contributions to an ongoing conversation, they can be configured to provide specific content and/or modify the role that they play in the exchange. The present paper explores the feasibility of developing a framework of prompts designed with such an aim in mind. The prompting should ensure that the chatbot engages a language learner in an interaction where it proposes conversational situations of appropriate complexity, takes part in them playing the role of one of the participants, while monitoring the linguistic correctness of the contributions by the learner and providing feedback on their language performance both proactively and in response to learner requests. The paper reports on an experiment tha t tested this type of functionality students of Spanish as a second language at Aligarh Muslim University in India.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Chatbots based on Large Language Models (LLMs) have demonstrated a remarkable ability to engage in conversations that are linguistically correct and make sense from a pragmatic point of view. A significant trait of their proven abilities is that, using verbal instructions provided as contributions to an ongoing conversation, they can be configured to provide specific content and/or modify the role that they play in the exchange. The present paper explores the feasibility of developing a framework of prompts designed with such an aim in mind. The prompting should ensure that the chatbot engages a language learner in an interaction where it proposes conversational situations of appropriate complexity, takes part in them playing the role of one of the participants, while monitoring the linguistic correctness of the contributions by the learner and providing feedback on their language performance both proactively and in response to learner requests. The paper reports on an experiment tha t tested this type of functionality students of Spanish as a second language at Aligarh Muslim University in India.
2024
Gervás, Pablo; Méndez, Gonzalo
Tagging Narrative with Propp’s Character Functions Using Large Language Models Proceedings Article
In: Seventh Workshop on Narrative Extraction From Texts (Text2Story’24), pp. 137–148, 2024.
@inproceedings{gervas2024tagging,
title = {Tagging Narrative with Propp’s Character Functions Using Large Language Models},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
booktitle = {Seventh Workshop on Narrative Extraction From Texts (Text2Story’24)},
volume = {3671},
pages = {137\textendash148},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gervás, Pablo; Méndez, Gonzalo
Pruning Worlds into Stories: Affective Interactions as Fitness Function Proceedings Article
In: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 179–193, Springer 2024.
@inproceedings{gervas2024pruning,
title = {Pruning Worlds into Stories: Affective Interactions as Fitness Function},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
booktitle = {International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar)},
pages = {179\textendash193},
organization = {Springer},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Ibrahim, Mossab; Gervás, Pablo; Méndez, Gonzalo
Bridging the Past and Future: Extracting Narrative Structures from the 1001 Arabian Nights to Inspire the Generation of New Arabic Tales Journal Article
In: American Journal of Information Science and Computer Engineering, vol. 5, no. 4, pp. 360–370, 2024.
@article{ibrahim2024bridging,
title = {Bridging the Past and Future: Extracting Narrative Structures from the 1001 Arabian Nights to Inspire the Generation of New Arabic Tales},
author = {Mossab Ibrahim and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
journal = {American Journal of Information Science and Computer Engineering},
volume = {5},
number = {4},
pages = {360\textendash370},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gervás, Pablo; Méndez, Gonzalo
Evolutionary Plot Arcs for a Series of Neurally-Generated Episodes Proceedings Article
In: 15th International Conference on Computational Creativity (ICCC 2024), 2024.
@inproceedings{gervas2024evolutionary,
title = {Evolutionary Plot Arcs for a Series of Neurally-Generated Episodes},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
booktitle = {15th International Conference on Computational Creativity (ICCC 2024)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Góngora, Santiago; Chiruzzo, Luis; Méndez, Gonzalo; Gervás, Pablo
PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games Proceedings Article
In: 15th International Conference on Computational Creativity (ICCC 2024), 2024.
@inproceedings{gongora2024payador,
title = {PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games},
author = {Santiago G\'{o}ngora and Luis Chiruzzo and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
year = {2024},
date = {2024-01-01},
booktitle = {15th International Conference on Computational Creativity (ICCC 2024)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gervás, Pablo; Méndez, Gonzalo
Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer Proceedings Article
In: 23rd EPIA Conference on Artificial Intelligence, Thematic Track on AI and Creativity, 2024.
@inproceedings{gervas2024distributing,
title = {Distributing Creative Responsibility Between a Knowledge-Based Content Determiner and a Neural Text Realizer},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
booktitle = {23rd EPIA Conference on Artificial Intelligence, Thematic Track on AI and Creativity},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Gervás, Pablo; León, Carlos; Kumar, Mayuresh; Méndez, Gonzalo; Bautista, Susana
Configuring an LLM Chatbot as Practice Partner for Language Learning Proceedings Article
In: Advances in Artificial Intelligence–IBERAMIA 2024: 18th Ibero-American Conference on AI, Montevideo, Uruguay, November 13–15, 2024, Proceedings, pp. 458, Springer Nature 2024.
@inproceedings{gervas2024configuring,
title = {Configuring an LLM Chatbot as Practice Partner for Language Learning},
author = {Pablo Gerv\'{a}s and Carlos Le\'{o}n and Mayuresh Kumar and Gonzalo M\'{e}ndez and Susana Bautista},
year = {2024},
date = {2024-01-01},
booktitle = {Advances in Artificial Intelligence\textendashIBERAMIA 2024: 18th Ibero-American Conference on AI, Montevideo, Uruguay, November 13\textendash15, 2024, Proceedings},
volume = {15277},
pages = {458},
organization = {Springer Nature},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
León, Carlos; Villar, Alejandro; Gervás, Pablo; Méndez, Gonzalo
Realidad virtual para entrenamiento en emergencias radiológicas Journal Article
In: Alfa, vol. 57, pp. 52–53, 2024.
@article{leon2024realidad,
title = {Realidad virtual para entrenamiento en emergencias radiol\'{o}gicas},
author = {Carlos Le\'{o}n and Alejandro Villar and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Alfa},
volume = {57},
pages = {52\textendash53},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hervás, Raquel; Francisco, Virginia; Concepción, Eugenio; Sevilla, Antonio F. G.; Méndez, Gonzalo
Creating an API Ecosystem for Assistive Technologies Oriented to Cognitive Disabilities Journal Article
In: IEEE Access, vol. 12, pp. 163224-163240, 2024, ISSN: 2169-3536.
@article{hervas2024creating,
title = {Creating an API Ecosystem for Assistive Technologies Oriented to Cognitive Disabilities},
author = {Raquel Herv\'{a}s and Virginia Francisco and Eugenio Concepci\'{o}n and Antonio F. G. Sevilla and Gonzalo M\'{e}ndez},
url = {https://ieeexplore.ieee.org/document/10737890},
doi = {10.1109/ACCESS.2024.3487308},
issn = {2169-3536},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {IEEE Access},
volume = {12},
pages = {163224-163240},
publisher = {IEEE},
abstract = {This paper presents the development and implementation of an API (Application Programming Interface) ecosystem designed to support the creation of assistive technologies for individuals with cognitive disabilities. Leveraging the principles of microservices and an API-centered approach, this ecosystem enhances collaboration among developers, reduces the cost of creating accessible tools, and provides highly adaptable and customizable applications. The study details architectural decisions, including the use of GraphQL for flexibility, and demonstrates the benefits of a service-based architecture for digital inclusion. Case studies illustrate the practical applications, showing how this approach facilitates the development and promotes more accessible digital solutions. The findings suggest that this ecosystem can significantly reduce the time and resources needed to develop assistive technologies, potentially accelerating their adoption in domains such as education, healthcare, and daily living aids. The modular and flexible nature of the API ecosystem supports the rapid development of personalized assistive tools, fosters collaborative development, and ensures cross-platform compatibility. These features contribute to creating robust solutions that address diverse user needs across various devices. The ongoing evolution of the API ecosystem, including the integration of advanced management frameworks, promises further innovation and collaboration in assistive technologies. Future work will focus on implementing a comprehensive API management infrastructure to enhance scalability, security, and monitoring capabilities, including the integration and validation of the ecosystem with third-party applications, and so demonstrating its versatility and scalability in real-world scenarios.},
keywords = {},
pubstate = {published},
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This paper presents the development and implementation of an API (Application Programming Interface) ecosystem designed to support the creation of assistive technologies for individuals with cognitive disabilities. Leveraging the principles of microservices and an API-centered approach, this ecosystem enhances collaboration among developers, reduces the cost of creating accessible tools, and provides highly adaptable and customizable applications. The study details architectural decisions, including the use of GraphQL for flexibility, and demonstrates the benefits of a service-based architecture for digital inclusion. Case studies illustrate the practical applications, showing how this approach facilitates the development and promotes more accessible digital solutions. The findings suggest that this ecosystem can significantly reduce the time and resources needed to develop assistive technologies, potentially accelerating their adoption in domains such as education, healthcare, and daily living aids. The modular and flexible nature of the API ecosystem supports the rapid development of personalized assistive tools, fosters collaborative development, and ensures cross-platform compatibility. These features contribute to creating robust solutions that address diverse user needs across various devices. The ongoing evolution of the API ecosystem, including the integration of advanced management frameworks, promises further innovation and collaboration in assistive technologies. Future work will focus on implementing a comprehensive API management infrastructure to enhance scalability, security, and monitoring capabilities, including the integration and validation of the ecosystem with third-party applications, and so demonstrating its versatility and scalability in real-world scenarios.
León, Carlos; Alcaide, Beatriz; Bautista, Susana; Francisco, Virginia; Hervás, Raquel; Méndez, Gonzalo; Sánchez-Horcajuelo, Rocío; Trefftz, Nicolás Emmanuel; Villar, Alejandro
Adaptación de material curricular de herramientas TIC para la diversidad funcional en carreras STEM Journal Article
In: 2024.
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title = {Adaptaci\'{o}n de material curricular de herramientas TIC para la diversidad funcional en carreras STEM},
author = {Carlos Le\'{o}n and Beatriz Alcaide and Susana Bautista and Virginia Francisco and Raquel Herv\'{a}s and Gonzalo M\'{e}ndez and Roc\'{i}o S\'{a}nchez-Horcajuelo and Nicol\'{a}s Emmanuel Trefftz and Alejandro Villar},
year = {2024},
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2023
Gervás, Pablo; Méndez, Gonzalo; Concepción, Eugenio
Evolutionary combination of connected event schemas into meaningful plots Journal Article
In: Genetic Programming and Evolvable Machines, vol. 24, no. 1, pp. 7, 2023.
@article{gervas2023evolutionary,
title = {Evolutionary combination of connected event schemas into meaningful plots},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez and Eugenio Concepci\'{o}n},
year = {2023},
date = {2023-01-01},
journal = {Genetic Programming and Evolvable Machines},
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Méndez, Gonzalo; Gervás, Pablo
Using ChatGPT for Story Sifting in Narrative Generation Proceedings Article
In: International Conference on Computational Creativity, 2023.
@inproceedings{mendez2023using,
title = {Using ChatGPT for Story Sifting in Narrative Generation},
author = {Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
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Góngora, Santiago; Chiruzzo, Luis; Méndez, Gonzalo; Gervás, Pablo
Skill check: Some considerations on the evaluation of gamemastering models for role-playing games Proceedings Article
In: International Conference on Games and Learning Alliance, pp. 277–288, Springer Nature Switzerland Cham 2023.
@inproceedings{gongora2023skill,
title = {Skill check: Some considerations on the evaluation of gamemastering models for role-playing games},
author = {Santiago G\'{o}ngora and Luis Chiruzzo and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
year = {2023},
date = {2023-01-01},
booktitle = {International Conference on Games and Learning Alliance},
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Gervás, Pablo; Méndez, Gonzalo
Evolutionary Story Sifting over the Log of a Social Simulation Proceedings Article
In: Italian Workshop on Artificial Life and Evolutionary Computation, pp. 381–393, Springer Nature Switzerland Cham 2023.
@inproceedings{gervas2023evolutionaryb,
title = {Evolutionary Story Sifting over the Log of a Social Simulation},
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year = {2023},
date = {2023-01-01},
booktitle = {Italian Workshop on Artificial Life and Evolutionary Computation},
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2022
Gervás, Pablo; Concepción, Eugenio; Méndez, Gonzalo
Evolutionary construction of stories that combine several plot lines Proceedings Article
In: International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar), pp. 68–83, Springer International Publishing Cham 2022.
@inproceedings{gervas2022evolutionary,
title = {Evolutionary construction of stories that combine several plot lines},
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date = {2022-01-01},
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Gervás, Pablo; Méndez, Gonzalo; Concepción, Eugenio
Evolutionary Combination of Subplot Patterns into Meaningful Plots Online
2022, visited: 01.01.2022.
@online{gervas2022evolutionaryb,
title = {Evolutionary Combination of Subplot Patterns into Meaningful Plots},
author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez and Eugenio Concepci\'{o}n},
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2021
Gervás, Pablo; Concepción, Eugenio; Méndez, Gonzalo
Assessing MultiPlot Stories: from Formative Analysis to Computational Metrics Proceedings Article
In: International Conference on Computational Creativity, Ciudad de México, México, 2021.
@inproceedings{765,
title = {Assessing MultiPlot Stories: from Formative Analysis to Computational Metrics},
author = {Pablo Gerv\'{a}s and Eugenio Concepci\'{o}n and Gonzalo M\'{e}ndez},
year = {2021},
date = {2021-09-01},
urldate = {2021-09-01},
booktitle = {International Conference on Computational Creativity},
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2020
Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
Exploring Baselines for Combining Full Plots into Multiple-plot Stories Journal Article
In: New Generation Computing, pp. 1-41, 2020, ISSN: 1882-7055.
@article{758,
title = {Exploring Baselines for Combining Full Plots into Multiple-plot Stories},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
url = {https://link.springer.com/article/10.1007%2Fs00354-020-00115-x},
doi = {10.1007/s00354-020-00115-x},
issn = {1882-7055},
year = {2020},
date = {2020-10-01},
journal = {New Generation Computing},
pages = {1-41},
chapter = {1},
abstract = {Many of the stories at the core of narrative entertainment involve a number of plot lines that combine to give them interest.
The present paper sets out to solve the problem of how several different plot lines, each one of them complete in its own sense, can be combined into a single linear sequence that works reasonably well as a plot. Starting from a brief review of how existing storytelling systems address the task, a representation for plots and plot templates is proposed that allows the combination of several subplots into a single plot line. Four strategies for weaving plots are proposed, two taken from literary studies and two computational baselines, and a formative evaluation of a set of stories produced by these solutions is presented. Finally, open issues, promising avenues of future work and the relation to previous work are discussed.},
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Many of the stories at the core of narrative entertainment involve a number of plot lines that combine to give them interest.
The present paper sets out to solve the problem of how several different plot lines, each one of them complete in its own sense, can be combined into a single linear sequence that works reasonably well as a plot. Starting from a brief review of how existing storytelling systems address the task, a representation for plots and plot templates is proposed that allows the combination of several subplots into a single plot line. Four strategies for weaving plots are proposed, two taken from literary studies and two computational baselines, and a formative evaluation of a set of stories produced by these solutions is presented. Finally, open issues, promising avenues of future work and the relation to previous work are discussed.
The present paper sets out to solve the problem of how several different plot lines, each one of them complete in its own sense, can be combined into a single linear sequence that works reasonably well as a plot. Starting from a brief review of how existing storytelling systems address the task, a representation for plots and plot templates is proposed that allows the combination of several subplots into a single plot line. Four strategies for weaving plots are proposed, two taken from literary studies and two computational baselines, and a formative evaluation of a set of stories produced by these solutions is presented. Finally, open issues, promising avenues of future work and the relation to previous work are discussed.
Julca, Frank; Méndez, Gonzalo; Hervás, Raquel
An Internal Model for Characters in Virtual Environments Book Chapter
In: Virtual Reality Designs, Chapter 5, CRC Press, Boca Raton, 1st, 2020, ISSN: 9781003019589.
@inbook{757,
title = {An Internal Model for Characters in Virtual Environments},
author = {Frank Julca and Gonzalo M\'{e}ndez and Raquel Herv\'{a}s},
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Hervás, Raquel; Bautista, Susana; Méndez, Gonzalo; Galván, Paloma; Gervás, Pablo
Predictive Composition of Pictogram Messages for Users with Autism Journal Article
In: Journal of Ambient Intelligence and Humanized Computing, 2020.
@article{756,
title = {Predictive Composition of Pictogram Messages for Users with Autism},
author = {Raquel Herv\'{a}s and Susana Bautista and Gonzalo M\'{e}ndez and Paloma Galv\'{a}n and Pablo Gerv\'{a}s},
doi = {10.1007/s12652-020-01925-z},
year = {2020},
date = {2020-01-01},
journal = {Journal of Ambient Intelligence and Humanized Computing},
abstract = {Communication is a basic need for every person. However, there are many people who present disabilities that prevent communication through natural language. Augmentative and Alternative Communication (AAC) systems, including those based on pictograms, attempt to facilitate the communication for people with this kind of difficulties. In this paper we present PictoEditor, an Augmentative and Alternative Communication application for the composition of pictogram messages for users with autism that incorporates prediction functionalities. Although such functionalities have been widely studied in text-based Augmentative and Alternative Communication tools, they have not been applied to pictogram based ones. The results show that prediction based on frequency of use of specific pictograms improves the immediate availability of the desired pictograms, but the improvement with prediction based on sequencing of pseudo-syntactic types of pictogram is not as clear.},
keywords = {},
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Communication is a basic need for every person. However, there are many people who present disabilities that prevent communication through natural language. Augmentative and Alternative Communication (AAC) systems, including those based on pictograms, attempt to facilitate the communication for people with this kind of difficulties. In this paper we present PictoEditor, an Augmentative and Alternative Communication application for the composition of pictogram messages for users with autism that incorporates prediction functionalities. Although such functionalities have been widely studied in text-based Augmentative and Alternative Communication tools, they have not been applied to pictogram based ones. The results show that prediction based on frequency of use of specific pictograms improves the immediate availability of the desired pictograms, but the improvement with prediction based on sequencing of pseudo-syntactic types of pictogram is not as clear.
2019
Hervás, Raquel; Francisco, Virginia; Méndez, Gonzalo; Bautista, Susana
A User-Centred Methodology for the Development of Computer-Based Assistive Technologies for Individuals with Autism Proceedings Article
In: Lamas, David; Loizides, Fernando; Nacke, Lennart; Petrie, Helen; Winckler, Marco; Zaphiris, Panayiotis (Ed.): 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019), pp. 85–106, Springer Springer, Paphos, Cyprus, 2019, ISBN: 978-3-030-29381-9.
@inproceedings{734,
title = {A User-Centred Methodology for the Development of Computer-Based Assistive Technologies for Individuals with Autism},
author = {Raquel Herv\'{a}s and Virginia Francisco and Gonzalo M\'{e}ndez and Susana Bautista},
editor = {David Lamas and Fernando Loizides and Lennart Nacke and Helen Petrie and Marco Winckler and Panayiotis Zaphiris},
url = {https://link.springer.com/chapter/10.1007/978-3-030-29381-9_6},
doi = {https://doi.org/10.1007/978-3-030-29381-9_6},
isbn = {978-3-030-29381-9},
year = {2019},
date = {2019-08-23},
urldate = {2019-08-23},
booktitle = {17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019)},
volume = {11746},
pages = {85--106},
publisher = {Springer},
address = {Paphos, Cyprus},
organization = {Springer},
abstract = {The design and development of computer assistive technolo-gies must be tied to the needs and goals of end users and must takeinto account their capabilities and preferences. In this paper, we presentMeDeC@, a Methodology for the Development of Computer AssistiveTechnologies for people with Autism Spectrum Disorders (ASD), whichrelies heavily in our experience working with end users with ASD. Theaim of this methodology is not to design for a broad group of users, butto design highly customizable tools so that they can be easily adaptedto specific situations and small user groups. We also present two applications developed using MeDeC@ in order to test its suitability: Emo-Traductor, a web application for emotion recognition for people withAsperger Syndrome, and ReadIt, a web browser plug-in to help peoplewith ASD with written language understanding difficulties to navigatethe Internet. The results of our evaluation with end users show thatthe use of MeDeC@ helps developers to successfully design computerassistive technologies taking into account the special requirements andscenarios that arise when developing this kind of assistive applications.},
keywords = {},
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The design and development of computer assistive technolo-gies must be tied to the needs and goals of end users and must takeinto account their capabilities and preferences. In this paper, we presentMeDeC@, a Methodology for the Development of Computer AssistiveTechnologies for people with Autism Spectrum Disorders (ASD), whichrelies heavily in our experience working with end users with ASD. Theaim of this methodology is not to design for a broad group of users, butto design highly customizable tools so that they can be easily adaptedto specific situations and small user groups. We also present two applications developed using MeDeC@ in order to test its suitability: Emo-Traductor, a web application for emotion recognition for people withAsperger Syndrome, and ReadIt, a web browser plug-in to help peoplewith ASD with written language understanding difficulties to navigatethe Internet. The results of our evaluation with end users show thatthe use of MeDeC@ helps developers to successfully design computerassistive technologies taking into account the special requirements andscenarios that arise when developing this kind of assistive applications.
Muñoz, Paula; Méndez, Gonzalo
A Deep Learning Approach to generate Beethoven’s 10th Symphony Masters Thesis
Universidad Complutense de Madrid, Madrid, Spain, 2019.
@mastersthesis{752,
title = {A Deep Learning Approach to generate Beethoven’s 10th Symphony},
author = {Paula Mu\~{n}oz and Gonzalo M\'{e}ndez},
year = {2019},
date = {2019-06-01},
volume = {BSc in Computer Science},
pages = {65},
address = {Madrid, Spain},
school = {Universidad Complutense de Madrid},
abstract = {Luidwig van Beethoven composed his symphonies between 1799 and 1825,
when he was writing his Tenth symphony. As we dispose of a great amount
of data belonging to his work, the purpose of this project is to work on the
possibility of extracting patterns on his compositional model and generate
what would have been his last symphony, the Tenth.
Computational creativity is an Arti cial Intelligence eld which is still
being developed. One of its sub elds is music generation, to which this
project belongs. Also, there is an open discussion about the belonging of the
creativity, to the machine or the programmer.
Firstly we have extracted all the symphonies’ scores information, structuring
them by instrument. Then we have used Deep Learning techniques to
extract knowledge from the data and later generate new music. The neural
network model is built based on the Long Short-Therm Memory (LSTM)
neural networks, which are distinguished from others since these ones contain
a memory module. After training the model and predict new scores, the
generated music has been analyzed by comparing the input data with the
results, and establishing dierences between the generated outputs based on
the training data used to obtain them. The result’s structure depends on the
symphonies used for training, so obtained music presents Beethoven’s style
characteristics.},
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pubstate = {published},
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}
Luidwig van Beethoven composed his symphonies between 1799 and 1825,
when he was writing his Tenth symphony. As we dispose of a great amount
of data belonging to his work, the purpose of this project is to work on the
possibility of extracting patterns on his compositional model and generate
what would have been his last symphony, the Tenth.
Computational creativity is an Arti cial Intelligence eld which is still
being developed. One of its sub elds is music generation, to which this
project belongs. Also, there is an open discussion about the belonging of the
creativity, to the machine or the programmer.
Firstly we have extracted all the symphonies’ scores information, structuring
them by instrument. Then we have used Deep Learning techniques to
extract knowledge from the data and later generate new music. The neural
network model is built based on the Long Short-Therm Memory (LSTM)
neural networks, which are distinguished from others since these ones contain
a memory module. After training the model and predict new scores, the
generated music has been analyzed by comparing the input data with the
results, and establishing dierences between the generated outputs based on
the training data used to obtain them. The result’s structure depends on the
symphonies used for training, so obtained music presents Beethoven’s style
characteristics.
when he was writing his Tenth symphony. As we dispose of a great amount
of data belonging to his work, the purpose of this project is to work on the
possibility of extracting patterns on his compositional model and generate
what would have been his last symphony, the Tenth.
Computational creativity is an Arti cial Intelligence eld which is still
being developed. One of its sub elds is music generation, to which this
project belongs. Also, there is an open discussion about the belonging of the
creativity, to the machine or the programmer.
Firstly we have extracted all the symphonies’ scores information, structuring
them by instrument. Then we have used Deep Learning techniques to
extract knowledge from the data and later generate new music. The neural
network model is built based on the Long Short-Therm Memory (LSTM)
neural networks, which are distinguished from others since these ones contain
a memory module. After training the model and predict new scores, the
generated music has been analyzed by comparing the input data with the
results, and establishing dierences between the generated outputs based on
the training data used to obtain them. The result’s structure depends on the
symphonies used for training, so obtained music presents Beethoven’s style
characteristics.
Oñate, Alejandro; Méndez, Gonzalo; Gervás, Pablo
Emolift: Elevator Conversations based on Emotions Proceedings Article
In: 10th International Conference on Computational Creativity (ICCC 2019), UNC Charlotte, North Carolina, USA, 2019.
@inproceedings{732,
title = {Emolift: Elevator Conversations based on Emotions},
author = {Alejandro O\~{n}ate and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
booktitle = {10th International Conference on Computational Creativity (ICCC 2019)},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
Evolving the INES story generation system: from single to multiple plot lines Proceedings Article
In: 10th International Conference on Computational Creativity (ICCC 2019), UNC Charlotte, North Carolina, USA, 2019.
@inproceedings{733,
title = {Evolving the INES story generation system: from single to multiple plot lines},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2019},
date = {2019-06-01},
urldate = {2019-06-01},
booktitle = {10th International Conference on Computational Creativity (ICCC 2019)},
address = {UNC Charlotte, North Carolina, USA},
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Oñate, Alejandro; Méndez, Gonzalo; Gervás, Pablo
Introducing Mood and Affinity to Generate Brief Template-based Dialogues in Storytelling Systems Proceedings Article
In: C3GI: The 7th International Workshop on Computational Creativity, Concept Invention, and General Intelligence, CEUR Workshop Proceedings CEUR Workshop Proceedings, Bozen-Bolzano, Italy, 2019.
@inproceedings{731,
title = {Introducing Mood and Affinity to Generate Brief Template-based Dialogues in Storytelling Systems},
author = {Alejandro O\~{n}ate and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
url = {http://ceur-ws.org/Vol-2347/paper8.pdf},
year = {2019},
date = {2019-04-01},
urldate = {2019-04-01},
booktitle = {C3GI: The 7th International Workshop on Computational Creativity, Concept Invention, and General Intelligence},
publisher = {CEUR Workshop Proceedings},
address = {Bozen-Bolzano, Italy},
organization = {CEUR Workshop Proceedings},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Martins, Pedro; Oliveira, Hugo Gonçalo; Gonçalves, Joao Carlos; Cruz, Antonio; Cardoso, Amílcar; Znidarzic, Martin; Lavrac, Nada; Linkola, Simo M.; Toivonen, Hannu; Hervás, Raquel; Méndez, Gonzalo; Gervás, Pablo
Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case Journal Article
In: IBM Journal of Research and Development, pp. 1-1, 2019, ISSN: 0018-8646.
@article{723,
title = {Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case},
author = {Pedro Martins and Hugo Gon\c{c}alo Oliveira and Joao Carlos Gon\c{c}alves and Antonio Cruz and Am\'{i}lcar Cardoso and Martin Znidarzic and Nada Lavrac and Simo M. Linkola and Hannu Toivonen and Raquel Herv\'{a}s and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
url = {https://ieeexplore.ieee.org/document/8637717},
doi = {10.1147/JRD.2019.2898417},
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year = {2019},
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Méndez, Gonzalo; Hervás, Raquel; Gervás, Pablo; Martín, Alejandro; Julca, Frank
Dynamic Emphatical Narration for Reduced Authorial Burden and Increased User Freedom in Interactive Storytelling Journal Article
In: Connection Science, vol. 31, no. 1, pp. 33-59, 2019, ISSN: 0954-0091.
@article{699,
title = {Dynamic Emphatical Narration for Reduced Authorial Burden and Increased User Freedom in Interactive Storytelling},
author = {Gonzalo M\'{e}ndez and Raquel Herv\'{a}s and Pablo Gerv\'{a}s and Alejandro Mart\'{i}n and Frank Julca},
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Gervás, Pablo; Concepción, Eugenio; León, Carlos; Méndez, Gonzalo; Delatorre, Pablo
The Long Path to Narrative Generation Journal Article
In: IBM Journal of Research & Development, vol. 63, no. 1, pp. 1-8, 2019, ISSN: 0018-8646.
@article{721,
title = {The Long Path to Narrative Generation},
author = {Pablo Gerv\'{a}s and Eugenio Concepci\'{o}n and Carlos Le\'{o}n and Gonzalo M\'{e}ndez and Pablo Delatorre},
url = {https://ieeexplore.ieee.org/document/8630003},
doi = {10.1147/JRD.2019.2896157},
issn = {0018-8646},
year = {2019},
date = {2019-01-01},
journal = {IBM Journal of Research \& Development},
volume = {63},
number = {1},
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keywords = {},
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2018
Méndez, Gonzalo; Hervás, Raquel; Gervás, Pablo; Rosa, Ricardo; Ruiz, Daniel
Adapting Descriptions of People to the Point of View of a Moving Observer Proceedings Article
In: 11th International Conference on Natural Languaje Generation (INLG), ACL ACL, Tilburg, The Netherlands, 2018.
@inproceedings{715,
title = {Adapting Descriptions of People to the Point of View of a Moving Observer},
author = {Gonzalo M\'{e}ndez and Raquel Herv\'{a}s and Pablo Gerv\'{a}s and Ricardo Rosa and Daniel Ruiz},
url = {https://www.aclweb.org/anthology/W18-6540},
doi = {http://dx.doi.org/10.18653/v1/W18-6540},
year = {2018},
date = {2018-11-01},
urldate = {2018-11-01},
booktitle = {11th International Conference on Natural Languaje Generation (INLG)},
publisher = {ACL},
address = {Tilburg, The Netherlands},
organization = {ACL},
abstract = {This paper addresses the task of generating descriptions of people for an observer that is moving within a scene. As the observer moves, the descriptions of the people around him also change. A referring expression generation algorithm adapted to this task needs to continuously monitor the changes in the field of view of the observer, his relative position to the people being described, and the relative position of these people to any landmarks around them, and to take these changes into account in the referring expressions generated. This task presents two advantages: many of the mechanisms already available for static contexts may be applied with small adaptations, and it introduces the concept of changing conditions into the task of referring expression generation. In this paper we describe the design of an algorithm that takes these aspects into account in order to create descriptions of people within a 3D virtual environment. The evaluation of this algorithm has shown that, by changing the descriptions in real time according to the observers point of view, they are able to identify the described person quickly and effectively.},
keywords = {},
pubstate = {published},
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This paper addresses the task of generating descriptions of people for an observer that is moving within a scene. As the observer moves, the descriptions of the people around him also change. A referring expression generation algorithm adapted to this task needs to continuously monitor the changes in the field of view of the observer, his relative position to the people being described, and the relative position of these people to any landmarks around them, and to take these changes into account in the referring expressions generated. This task presents two advantages: many of the mechanisms already available for static contexts may be applied with small adaptations, and it introduces the concept of changing conditions into the task of referring expression generation. In this paper we describe the design of an algorithm that takes these aspects into account in order to create descriptions of people within a 3D virtual environment. The evaluation of this algorithm has shown that, by changing the descriptions in real time according to the observers point of view, they are able to identify the described person quickly and effectively.
Francisco, Virginia; Hervás, Raquel; Méndez, Gonzalo; Galván, Paloma
In: Frontiers in Psychology, vol. 9, 2018, ISSN: 1664-1078.
@article{714,
title = {Exploring the Potential of Concept Associations for the Creative Generation of Linguistic Artifacts: a Case Study with Riddles and Rhetorical Figures},
author = {Virginia Francisco and Raquel Herv\'{a}s and Gonzalo M\'{e}ndez and Paloma Galv\'{a}n},
url = {https://www.frontiersin.org/articles/10.3389/fpsyg.2018.01792},
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year = {2018},
date = {2018-09-01},
journal = {Frontiers in Psychology},
volume = {9},
chapter = {1792},
abstract = {Automatic generation of linguistic artifacts is a problem that has been sporadically tackled over the years. The main goal of this paper is to explore how concept associations can be useful from a computational creativity point of view to generate some of these artifacts. We present an approach where finding associations between concepts that would not usually be considered as related (for example life and politics or diamond and concrete) could be the seed for the generation of creative and surprising linguistic artifacts such as rhetorical figures (life is like politics) and riddles (what is as hard as concrete?). The quality and appropriateness of the generated figures and riddles has been evaluated using human evaluators, and the results show that the concept associations obtained are useful for creating these kinds of creative artifacts.},
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Automatic generation of linguistic artifacts is a problem that has been sporadically tackled over the years. The main goal of this paper is to explore how concept associations can be useful from a computational creativity point of view to generate some of these artifacts. We present an approach where finding associations between concepts that would not usually be considered as related (for example life and politics or diamond and concrete) could be the seed for the generation of creative and surprising linguistic artifacts such as rhetorical figures (life is like politics) and riddles (what is as hard as concrete?). The quality and appropriateness of the generated figures and riddles has been evaluated using human evaluators, and the results show that the concept associations obtained are useful for creating these kinds of creative artifacts.
Martín, Alejandro; Hervás, Raquel; Méndez, Gonzalo; Bautista, Susana
PICTAR: Una herramienta de elaboración de contenido para personas con TEA basada en la traducción de texto a pictogramas Proceedings Article
In: XIX International Conference on Human-Computer Interaction (Interacción 2018), Palma de Mallorca, Spain, 2018.
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title = {PICTAR: Una herramienta de elaboraci\'{o}n de contenido para personas con TEA basada en la traducci\'{o}n de texto a pictogramas},
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Méndez, Gonzalo; Hervás, Raquel; Bautista, Susana; Galván, Paloma
PictoEditor: un editor predictivo basado en pictogramas para facilitar la interacción con personas con discapacidad Proceedings Article
In: XIX International Conference on Human-Computer Interaction (Interacción 2018), Palma de Mallorca, Spain, 2018.
@inproceedings{711,
title = {PictoEditor: un editor predictivo basado en pictogramas para facilitar la interacci\'{o}n con personas con discapacidad},
author = {Gonzalo M\'{e}ndez and Raquel Herv\'{a}s and Susana Bautista and Paloma Galv\'{a}n},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
INES: A reconstruction of the Charade storytelling system using the Afanasyev Framework Proceedings Article
In: Ninth International Conference on Computational Creativity, ICCC 2018, Salamanca, Spain, 2018.
@inproceedings{707,
title = {INES: A reconstruction of the Charade storytelling system using the Afanasyev Framework},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2018},
date = {2018-06-01},
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abstract = {The present paper introduces INES (Interactive Narrative Emotional Storyteller), an instance of the Afanasyev story generation framework that rebuilds Charade, an agent-based storytelling system. The construction of INES pursues a double goal: to develop a more complete version of Charade, by including a plot generation stage; and to show the capability of Afanasyev as scaffolding for building united systems from sources of diverse kind. From a broad view, the resulting architecture is a microservice-oriented ecosystem in which every significant stage of the story generation process is implemented by a microservice that can be easily replaced by another, as long as the new microservice keeps the interface contract established by the Afanasyev model.},
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The present paper introduces INES (Interactive Narrative Emotional Storyteller), an instance of the Afanasyev story generation framework that rebuilds Charade, an agent-based storytelling system. The construction of INES pursues a double goal: to develop a more complete version of Charade, by including a plot generation stage; and to show the capability of Afanasyev as scaffolding for building united systems from sources of diverse kind. From a broad view, the resulting architecture is a microservice-oriented ecosystem in which every significant stage of the story generation process is implemented by a microservice that can be easily replaced by another, as long as the new microservice keeps the interface contract established by the Afanasyev model.
Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
Afanasyev: A collaborative architectural model for automatic story generation Proceedings Article
In: 5th AISB Symposium on Computational Creativity, University of Liverpool, UK, 2018.
@inproceedings{703,
title = {Afanasyev: A collaborative architectural model for automatic story generation},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
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2017
Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
A common model for representing stories in automatic storytelling Proceedings Article
In: 6th International Workshop on Computational Creativity, Concept Invention, and General Intelligence. C3GI 2017, Madrid, Spain, 2017.
@inproceedings{691,
title = {A common model for representing stories in automatic storytelling},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2017},
date = {2017-12-01},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
An API-based approach to co-creation in automatic storytelling Proceedings Article
In: 6th International Workshop on Computational Creativity, Concept Invention, and General Intelligence. C3GI 2017, Madrid, Spain, 2017.
@inproceedings{692,
title = {An API-based approach to co-creation in automatic storytelling},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
A microservice-based architecture for story generation Proceedings Article
In: Microservices, Odense, Denmark, 2017.
@inproceedings{686,
title = {A microservice-based architecture for story generation},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
year = {2017},
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abstract = {The present paper proposes an architectural model for knowledge interchange between story generation systems in the interest of enhancing the interoperability and fostering the co-creation process. The selected architectural approach is the microservices model, because it provides a very convenient way for structuring the functional responsibilities in the architecture, and promotes a distributed strategy for solving complex problems.
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The present paper proposes an architectural model for knowledge interchange between story generation systems in the interest of enhancing the interoperability and fostering the co-creation process. The selected architectural approach is the microservices model, because it provides a very convenient way for structuring the functional responsibilities in the architecture, and promotes a distributed strategy for solving complex problems.
The communication between the services is based on the well-known REST architectural model. This approach aims at simplifying the communication process by means of a easily achievable representation of the information.
The communication between the services is based on the well-known REST architectural model. This approach aims at simplifying the communication process by means of a easily achievable representation of the information.
Méndez, Gonzalo; Hervás, Raquel; Bautista, Susana; Rabadán, Adrián; Rodríguez-Ferreira, Teresa
Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images Proceedings Article
In: International Natural Language Generation Conference (INLG2017), Santiago de Compostela, Spain, 2017.
@inproceedings{681,
title = {Exploring the Behavior of Classic REG Algorithms in the Description of Characters in 3D Images},
author = {Gonzalo M\'{e}ndez and Raquel Herv\'{a}s and Susana Bautista and Adri\'{a}n Rabad\'{a}n and Teresa Rodr\'{i}guez-Ferreira},
url = {https://www.aclweb.org/anthology/W17-3507},
doi = {http://dx.doi.org/10.18653/v1/W17-3507},
year = {2017},
date = {2017-09-01},
urldate = {2017-09-01},
booktitle = {International Natural Language Generation Conference (INLG2017)},
address = {Santiago de Compostela, Spain},
abstract = {Describing people and characters can be very useful in different contexts, such as computational narrative or image description for the visually impaired. However, a review of the existing literature shows that the automatic generation of people descriptions has not received much attention. Our work focuses on the description of people in snapshots from a 3D environment. First, we have conducted a survey to identify the way in which people describe other people under different conditions. We have used the information extracted from this survey to design several Referring Expression Generation algorithms which produce similar results. We have evaluated these algorithms with users in order to identify which ones generate the best description for specific characters in different situations. The evaluation has shown that, in order to generate good descriptions, a combination of different algorithms has to be used depending on the features and situation of the person to be described.},
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Describing people and characters can be very useful in different contexts, such as computational narrative or image description for the visually impaired. However, a review of the existing literature shows that the automatic generation of people descriptions has not received much attention. Our work focuses on the description of people in snapshots from a 3D environment. First, we have conducted a survey to identify the way in which people describe other people under different conditions. We have used the information extracted from this survey to design several Referring Expression Generation algorithms which produce similar results. We have evaluated these algorithms with users in order to identify which ones generate the best description for specific characters in different situations. The evaluation has shown that, in order to generate good descriptions, a combination of different algorithms has to be used depending on the features and situation of the person to be described.
Méndez, Gonzalo; Hervás, Raquel; Gervás, Pablo; Martín, Alejandro; Julca, Frank
Exploring Creative Freedom in Real Time Story Generation Proceedings Article
In: 4th AISB Symposium on Computational Creativity (AISBCC 2017), University of Bath, UK, 2017.
@inproceedings{646,
title = {Exploring Creative Freedom in Real Time Story Generation},
author = {Gonzalo M\'{e}ndez and Raquel Herv\'{a}s and Pablo Gerv\'{a}s and Alejandro Mart\'{i}n and Frank Julca},
year = {2017},
date = {2017-04-01},
urldate = {2017-04-01},
booktitle = {4th AISB Symposium on Computational Creativity (AISBCC 2017)},
address = {University of Bath, UK},
abstract = {Interactive storytelling systems have become very popular
as they engage users in the creation of narrative. In order to explore a co-creation process where the final result is narrated while the user is playing, we have designed an interactive storytelling system that is able to generate a narration in real time while giving the user the possibility to decide what to do and where to go. The intended result is a tool that allows the author, the user and the system to co-create a narration giving the user, as the ultimate author of the resulting narration, the freedom to decide the course of the events. In this paper we focus on the structures that have been used to represent the stories and in the mechanisms designed to generate the narration so that a coherent and entertaining story can be presented to the user.},
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Interactive storytelling systems have become very popular
as they engage users in the creation of narrative. In order to explore a co-creation process where the final result is narrated while the user is playing, we have designed an interactive storytelling system that is able to generate a narration in real time while giving the user the possibility to decide what to do and where to go. The intended result is a tool that allows the author, the user and the system to co-create a narration giving the user, as the ultimate author of the resulting narration, the freedom to decide the course of the events. In this paper we focus on the structures that have been used to represent the stories and in the mechanisms designed to generate the narration so that a coherent and entertaining story can be presented to the user.
as they engage users in the creation of narrative. In order to explore a co-creation process where the final result is narrated while the user is playing, we have designed an interactive storytelling system that is able to generate a narration in real time while giving the user the possibility to decide what to do and where to go. The intended result is a tool that allows the author, the user and the system to co-create a narration giving the user, as the ultimate author of the resulting narration, the freedom to decide the course of the events. In this paper we focus on the structures that have been used to represent the stories and in the mechanisms designed to generate the narration so that a coherent and entertaining story can be presented to the user.
2016
Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo; León, Carlos
A Challenge Proposal for Narrative Generation using CNLs Proceedings Article
In: GenChal Special Session at 9th International Natural Language Generation conference, INLG 2016 5-8 September 2016, Edinburgh, Scotland, UK, 2016.
@inproceedings{633,
title = {A Challenge Proposal for Narrative Generation using CNLs},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez and Carlos Le\'{o}n},
url = {https://www.aclweb.org/anthology/W16-6628},
doi = {http://dx.doi.org/10.18653/v1/W16-6628},
year = {2016},
date = {2016-09-01},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo
Mining Knowledge in Storytelling Systems for Narrative Generation Proceedings Article
In: CC-NLG: Computational Creativity in Natural Language Generation (@INLG2016), ACL Anthology ACL Anthology, Edimburgh, UK, 2016.
@inproceedings{629,
title = {Mining Knowledge in Storytelling Systems for Narrative Generation},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},
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Concepción, Eugenio; Gervás, Pablo; Méndez, Gonzalo; León, Carlos
Using CNL for Knowledge Elicitation and Exchange across Story Generation Systems Proceedings Article
In: 5th Workshop on Controlled Natural Language (CNL 2016), Springer Springer, Aberdeen, Scotland, 2016.
@inproceedings{626,
title = {Using CNL for Knowledge Elicitation and Exchange across Story Generation Systems},
author = {Eugenio Concepci\'{o}n and Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez and Carlos Le\'{o}n},
url = {https://link.springer.com/chapter/10.1007/978-3-319-41498-0_8},
doi = {https://doi.org/10.1007/978-3-319-41498-0_8},
year = {2016},
date = {2016-07-01},
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Galván, Paloma; Francisco, Virginia; Hervás, Raquel; Méndez, Gonzalo; Gervás, Pablo
Exploring the Role of Word Associations in the Construction of Rhetorical Figures Proceedings Article
In: 7th International Conference on Computational Creativity (ICCC 2016), pp. 222-229, Paris, France, 2016.
@inproceedings{625,
title = {Exploring the Role of Word Associations in the Construction of Rhetorical Figures},
author = {Paloma Galv\'{a}n and Virginia Francisco and Raquel Herv\'{a}s and Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},
url = {https://www.computationalcreativity.net/iccc2016/wp-content/uploads/2016/01/Exploring-the-Role-ofWord-Associations-in-the-Construction-of-Rhetorical-Figures.pdf},
year = {2016},
date = {2016-06-01},
urldate = {2016-06-01},
booktitle = {7th International Conference on Computational Creativity (ICCC 2016)},
pages = {222-229},
address = {Paris, France},
abstract = {Figurative language is a fundamental characteristic of elaborate forms of linguistic communication. We currently have very poor models of howfigurative language may be constructed in computational terms. The overall aim is to identify possible regularities, intuitions or heuristics that may at a later stage be employed to drive a text generator that is capable of using this type of rhetorical figure.},
keywords = {},
pubstate = {published},
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Figurative language is a fundamental characteristic of elaborate forms of linguistic communication. We currently have very poor models of howfigurative language may be constructed in computational terms. The overall aim is to identify possible regularities, intuitions or heuristics that may at a later stage be employed to drive a text generator that is capable of using this type of rhetorical figure.