Lingua e Sociedade da Información (Language in the Information Society) (LYS): Envíos recentes

Mostrando ítems 21-25 de 122

    • Towards the Automatic Construction of a Multilingual Dictionary of Collocations using Distributional Semantics 

      García, Marcos; García Salido, Marcos; Alonso-Ramos, Margarita (Lexical Computing, 2019)
      [Abstract] This paper presents the method used to create a multilingual online dictionary of collocations of English, Portuguese, and Spanish. This resource is built automatically and contains three types of collocations: ...

    • Towards a Graded Dictionary of Spanish Collocations 

      García Salido, Marcos; García, Marcos; Alonso-Ramos, Margarita (Lexical Computing, 2019)
      [Abstract] Several recent studies have observed that texts of different quality and written by learners at different proficiency levels also vary in the lexical combinations they contain. Such variation can be operationalized ...

    • A Transition-Based Algorithm for Unrestricted AMR Parsing 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2018-06)
      [Absctract]: Non-projective parsing can be useful to handle cycles and reentrancy in AMR graphs. We explore this idea and introduce a greedy left-to-right non-projective transition-based parser. At each parsing configuration, ...

    • Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2018-06)
      [Absctract]: The usage of part-of-day nouns, such as ‘night’, and their time-specific greetings (‘good night’), varies across languages and cultures. We show the possibilities that Twitter offers for studying the semantics ...

    • Harry Potter and the Action Prediction Challenge from Natural Language 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-06)
      [Absctract]: We explore the challenge of action prediction from textual descriptions of scenes, a testbed to approximate whether text inference can be used to predict upcoming actions. As a case of study, we consider the ...