We develop a large number of software tools and hosting infrastructures to support the research developed at the Department. We will be detailing in this section the different tools available. You can take a look for the moment at the offer available within the UPF Knowledge Portal, the innovations created in the context of EU projects in the Innovation Radar and the software sections of some of our research groups:

 

 Artificial Intelligence

 Nonlinear Time Series Analysis

 Web Research 

 

 Music Technology

 Interactive  Technologies

 Barcelona MedTech

 Natural Language  Processing

 Nonlinear Time Series  Analysis

UbicaLab

Wireless Networking

Educational Technologies

GitHub

 

 

Back Rodríguez-Fernández S, Espinosa-Anke L, Carlini R, Wanner L. Semantics-Driven Recognition of Collocations Using Word Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016)

Rodríguez-Fernández S, Espinosa-Anke L, Carlini R, Wanner L. Semantics-Driven Recognition of Collocations Using Word Embeddings. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016)

 

L2 learners often produce “ungrammatical” word combinations such as, e.g., *give a suggestion or *make a walk. This is because of the “collocationality” of one of their items (the base) that limits the acceptance of collocates to express a specific meaning (‘perform’ above). We propose an algorithm that delivers, for a given base and the intended meaning of a collocate, the actual collocate lexeme(s) (make / take above). The algorithm exploits the linear mapping between bases and collocates from examples and generates a collocation transformation matrix which is then applied to novel unseen cases. The evaluation shows a promising line of research in collocation discovery

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