Martín Pereira-Fariña

Also published as: M. Pereira-Fariña, Martin Pereira-Fariña


2019

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Paving the way towards counterfactual generation in argumentative conversational agents
Ilia Stepin | Alejandro Catala | Martin Pereira-Fariña | Jose M. Alonso
Proceedings of the 1st Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence (NL4XAI 2019)

2017

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Compositional Semantics using Feature-Based Models from WordNet
Pablo Gamallo | Martín Pereira-Fariña
Proceedings of the 1st Workshop on Sense, Concept and Entity Representations and their Applications

This article describes a method to build semantic representations of composite expressions in a compositional way by using WordNet relations to represent the meaning of words. The meaning of a target word is modelled as a vector in which its semantically related words are assigned weights according to both the type of the relationship and the distance to the target word. Word vectors are compositionally combined by syntactic dependencies. Each syntactic dependency triggers two complementary compositional functions: the named head function and dependent function. The experiments show that the proposed compositional method outperforms the state-of-the-art for both intransitive subject-verb and transitive subject-verb-object constructions.

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Proceedings of the 1st Workshop on Explainable Computational Intelligence (XCI 2017)
M. Pereira-Fariña | C. Reed
Proceedings of the 1st Workshop on Explainable Computational Intelligence (XCI 2017)