Publications

@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}

}

@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}

}

@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}

}

@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 ƒ (saj´) patterns in ƒ (wisdom in words, blessing in currency) and ƒ (jinas¯ ) wordplay as demonstrated in ƒ (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 ƒ (maqam¯ at¯ ) to contemporary ƒ (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}

}

@inproceedings{nokey,

title = {Evaluating Eleuteria App: the deliver stage of an inclusive double diamond design process},

author = {Barbara Corsetti and Lourdes Moreno and Raquel Herv\'{a}s},

url = {https://ceur-ws.org/Vol-4000/paper11.pdf},

year  = {2025},

date = {2025-09-05},

urldate = {2025-09-05},

booktitle = {25th International Conference on Human-Computer Interaction (INTERACCI\'{O}N 2025)},

publisher = {Asociaci\'{o}n Interacci\'{o}n Persona-Ordenador (AIPO)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {Challenges in Accessing Generative AI for Users with Cognitive Disabilities: An Exploratory Case Study},

author = {Virginia Francisco and Raquel Herv\'{a}s and Ricardo Garc\'{i}a-Mata},

url = {https://ceur-ws.org/Vol-4000/paper09.pdf},

year  = {2025},

date = {2025-09-05},

urldate = {2025-09-05},

booktitle = {25th International Conference on Human-Computer Interaction (INTERACCI\'{O}N 2025)},

publisher = {Asociaci\'{o}n Interacci\'{o}n Persona-Ordenador (AIPO)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nokey,

title = {LLM-Driven Accessible Interfaces: A Model-Based  Approach},

author = {Blessing Jerry and Lourdes Moreno and Virginia Francisco and Raquel Herv\'{a}s},

year  = {2025},

date = {2025-07-18},

booktitle = {EMUXAI Workshop: Engineering Methods for HCI and UX in AI-Driven Systems (Interact 2025)},

publisher = {IFIP-TC13},

address = {Belo Horizonte, Minas Gerais, Brazil},

keywords = {},

pubstate = {forthcoming},

tppubtype = {inproceedings}

}

@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}

}

@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}

}

@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}

}

@inproceedings{gervas2025accounting,

title = {Accounting for the Importance of Changes in Event Actuality in the Representation of Narrative},

author = {Pablo Gerv\'{a}s and Jos\'{e} Luis L\'{o}pez-Calle},

year  = {2025},

date = {2025-01-01},

booktitle = {CEUR Workshop Proceedings},

volume = {3964},

pages = {117\textendash125},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gervas2025interpreting,

title = {Interpreting Narrations of Events Witnessed: Relying on Location Data to Help Place Embedded Stories},

author = {Pablo Gerv\'{a}s},

year  = {2025},

date = {2025-01-01},

booktitle = {CEUR Workshop Proceedings},

volume = {3964},

pages = {127\textendash135},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@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}

}

@inproceedings{gervas2024representing,

title = {Representing Complex Relative Chronology Across Narrative Levels in Movie Plots.},

author = {Pablo Gerv\'{a}s and Jose Luis L\'{o}pez-Calle},

year  = {2024},

date = {2024-01-01},

urldate = {2024-01-01},

booktitle = {Text2Story@ ECIR},

pages = {65\textendash76},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{hervas2024self,

title = {Self-guided Spatial Composition as an Additional Layer of Information to Enhance Accessibility of Images for Blind Users},

author = {Raquel Herv\'{a}s and Alberto D\'{i}az and Mat\'{i}as Amor and Alberto Chaves and V\'{i}ctor Ruiz},

year  = {2024},

date = {2024-01-01},

booktitle = {Proceedings of the XXIV International Conference on Human Computer Interaction},

pages = {1\textendash8},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{corsetti2024shaping,

title = {Shaping Interactive Systems: Defining Features to Meet the Needs of Individuals with Mild Intellectual Disabilities},

author = {Barbara Corsetti and Lourdes Moreno and Raquel Herv\'{a}s},

year  = {2024},

date = {2024-01-01},

booktitle = {Proceedings of the XXIV International Conference on Human Computer Interaction},

pages = {1\textendash8},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{mendez2023using,

title = {Using ChatGPT for Story Sifting in Narrative Generation},

author = {Gonzalo M\'{e}ndez and Pablo Gerv\'{a}s},

year  = {2023},

date = {2023-01-01},

booktitle = {International Conference on Computational Creativity},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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},

pages = {277\textendash288},

organization = {Springer Nature Switzerland Cham},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gervas2023evolutionaryb,

title = {Evolutionary Story Sifting over the Log of a Social Simulation},

author = {Pablo Gerv\'{a}s and Gonzalo M\'{e}ndez},

year  = {2023},

date = {2023-01-01},

booktitle = {Italian Workshop on Artificial Life and Evolutionary Computation},

pages = {381\textendash393},

organization = {Springer Nature Switzerland Cham},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gervas2023segmenting,

title = {Segmenting Narrative Synopses on Event Reporting Mode based on Heuristics on Constituency Parses.},

author = {Pablo Gerv\'{a}s},

year  = {2023},

date = {2023-01-01},

booktitle = {Text2Story@ ECIR},

pages = {73\textendash81},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gervas2023improving,

title = {Improving efficiency and coherence in evolutionary story generation},

author = {Pablo Gerv\'{a}s},

year  = {2023},

date = {2023-01-01},

booktitle = {14th International Conference on Computational Creativity, Waterloo, Ontario, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{corsetti2023knowing,

title = {Knowing Users with Mild Intellectual Impairments in UX Design Processes},

author = {Barbara Corsetti and Raquel Herv\'{a}s and Lourdes Moreno},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {Proceedings of the XXIII International Conference on Human Computer Interaction},

pages = {1\textendash8},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{DBLP:conf/interaccion/CorsettiB023,

title = {Knowing Users with Mild Intellectual Impairments in UX Design Processes},

author = {Barbara Corsetti and Raquel Herv\'{a}s and Lourdes Moreno},

url = {https://doi.org/10.1145/3612783.3612792},

doi = {10.1145/3612783.3612792},

year  = {2023},

date = {2023-01-01},

urldate = {2023-01-01},

booktitle = {XXIII International Conference on Human Computer Interaction, Interaccion 

 2023, Lleida, Spain, September 4-6, 2023},

pages = {8:1\textendash8:8},

publisher = {ACM},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{798,

title = {A Discourse Interpretation Engine Sensitive to Truth Revisions in a Story},

author = {Pablo Gerv\'{a}s},

year  = {2022},

date = {2022-11-01},

urldate = {2022-11-01},

booktitle = {Tenth Annual Conference on Advances in Cognitive Systems},

address = {Arlington, Virginia},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{796,

title = {Emotional Interpretation of Opera Seria: Impact of Specifics of Drama Structure},

author = {Pablo Gerv\'{a}s and A. Torrente},

year  = {2022},

date = {2022-10-01},

urldate = {2022-10-01},

booktitle = {14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{794,

title = {Evolutionary Stitching of Plot Units with Character Threads},

author = {Pablo Gerv\'{a}s},

year  = {2022},

date = {2022-09-01},

urldate = {2022-09-01},

booktitle = {WIVACE 2022 XVI International Workshop on Artificial Life and Evolutionary Computation},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{778,

title = {Generating Plotlines about Attempting to Avert Disasters},

author = {Pablo Gerv\'{a}s},

year  = {2022},

date = {2022-06-01},

urldate = {2022-06-01},

booktitle = {The Thirteenth International Conference on Computational Creativity},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}