Language, Interaction and Computation Laboratory (CLIC)
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What we do:
The CLIC is an interdisciplinary group of researchers interested in studying verbal communication. Our current research spans three areas:
Theoretical linguistics and its relation to human cognition (the LiCo group): we study the role of language in various cognitive abilities, developing theoretical and computational models of the structure of human language, of how it is learned and represented in the brain, and which of its properties may be due to biological constraints. We address these questions using interdisciplinary methods and tools that include corpora research, models with neural networks and neuroimaging techniques.
Computational models of multimodality (the LaVi group): we aim at understanding multimodal communication, in which intelligent agents can converse using information received through text, images or sounds. Our research tries to understand the role of these different modalities in learning certain reasoning skills. Both the linguistic / cognitive aspects and the possible technological applications of this type of model are considered.
Computational semantics (the CALM group): we investigate how meaning emerges in humans, how it functionally corresponds to elements of worlds, and how it expresses itself in observable, speaker-dependent linguistic utterances. The main methodology of the group is computational modeling, which allows us to perform extensive testing of particular cognitive and linguistic hypotheses. We also routinely engage in the investigation of state-of-the-art Artificial Intelligence algorithms with a view to integrate them into our modeling activities.
Our datasets and pretrained models:
Code and resources from our groups:
* Resources from the LaVi group
* Resources from the CALM group
Resources from the COMPOSES project:
* SICK (Sentences Involving Compositional Knowledge)
* "Don't count, predict" vectors
* Other datasets from the COMPOSES project
DISSECT toolkit for creating distributional semantics spaces
* Documentation for the DISSECT toolkit