Welcome to NIL's website!

The NIL acronym (Natural Interaction based on Language) identifies a group of researchers and practitioners whose interests converge towards the development of interfaces based on language for modern day IT applications for modifying or finding information, issuing commands, or present output results in a way easy to understand.

Various Artificial Intelligence techniques contribute towards this goal. The mainstay of NIL is obviously a strong Natural Language Processing component. However, the complexities of language interactions require the use of additional techniques of Knowledge Representation, Expert Systems, Case-Based Reasoning, Evolutionary Algorithms, User Modeling and Computational Creativity.

NIL arises in 2005 to provide a minimal infrastructure to house colaborative projects between researchers at Universidad Complutense de Madrid. Nevertheless, it is open to contributions from researchers affiliated at other institutions if they are interested in the stated goals. At the same point, NIL is born with the overall goal of developing the technologies that it researchs on to the point where they can be used for practical applications. For this reason, we are always on the look out for opportunities to test the applicability of our work in real life situations.

  • If you feel your own research might contribute to these goals and you would like to participate in NIL, please contact us.
  • If you think that your business might benefit from applying one of the techniques that we are working on, or you reckon you may have a possible application for one of them, please contact us.



Open research position in the WHIM project

The NIL research group (http://nil.fdi.ucm.es/) at Complutense University of Madrid is looking for Research Associates, PhD students and post-doctoral fellows.

Perfil de programador gráfico senior

Un colaborador nos hace llegar una oferta de perfil de programador gráfico senior en. Más detalles en la descripción. Podéis contactar con fdelapuente@aerolaser.es

ICCBR-15 Workshop on Experience and Creativity

We organize the ICCBR-15 Workshop on Experience and Creativity (Frankfurt, September 28, 2015)

Can computers be creative?

The Digital Agenda for Europe promotes our WHIM Project!

https://ec.europa.eu/digital-agenda/en/news/whim-can-computers-be-creative

Participamos en la Semana de la Ciencia 2014

Con motivo de la celebración de la Semana de la Ciencia 2014 y como actividad dentro de la misma, el grupo de investigación NIL de la Universidad Complutense de Madrid, en colaboración con las profesoras de la Facultad de Filología de la UNED Elena González Blanco y Clara Martínez Cantón, del Laboratorio de Innovación de Humanidades Digitales (LINHD) organizó un taller científico para niños de 10 y 11 años titulado “Cuando las personas y las máquinas juegan con las palabras”.

FIRST ANNUAL CONTACT FORUM OF THE PROSECCO NETWORK

The First Annual Contact Forum of the PROSECCO (PROmoting the Scientific Exploration of Computational Creativity) network will be held in El Escorial, Madrid from February 21-23 inclusive. (http://prosecco-network.eu/)
The forum will bring together international researchers whose work can inform CC research and be informed in turn by ongoing CC efforts.
Organized by Pablo Gervás, UCM.

Project CONCRETE - 1 postdoctoral research position available

The European project CONCRETE ("Concept Creation Technologies") aims to study conceptual creativity in humans and machines hoping to achieve computationally-creative reasoning as the creation of new concepts. It will focus on mechanisms for generating examples from a learned model, and mechanisms for evaluating generated examples according to novelty and value.

Proyecto CONCRETE - 1 plaza de investigador postdoctoral

El proyecto europeo CONCRETE ("Concept Creation Technologies") estudiará la creación de concepts in personas y máquinas con la esperanza de alcanzar razonamiento conceptual creative en términos de creación de nuevos conceptos. Se centrará en mecanismos para generar ejemplos a partir de un modelo aprendido, and mecanismos para evaluar ejemplos generados en términos de su novedad y su valor.

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