no code implementations • LREC 2012 • Montserrat Marimon, Beatriz Fisas, N{\'u}ria Bel, Jorge Vivaldi, Sergi Torner, Merc{\`e} Lorente, Silvia V{\'a}zquez, Marta Villegas
In this paper we have focused on describing the work done for defining the annotation process and the treebank design principles.
no code implementations • LREC 2014 • Montserrat Marimon, N{\'u}ria Bel, Beatriz Fisas, Blanca Arias, Silvia V{\'a}zquez, Jorge Vivaldi, Carlos Morell, Merc{\`e} Lorente
This paper presents the IULA Spanish LSP Treebank, a dependency treebank of over 41, 000 sentences of different domains (Law, Economy, Computing Science, Environment, and Medicine), developed in the framework of the European project METANET4U.
no code implementations • LREC 2016 • Beatriz Fisas, Francesco Ronzano, Horacio Saggion
In addition, a grade is allocated to each sentence according to its relevance for being included in a summary. To the best of our knowledge, this complex, multi-layered collection of annotations and metadata characterizing a set of research papers had never been grouped together before in one corpus and therefore constitutes a newer, richer resource with respect to those currently available in the field.
no code implementations • WS 2019 • Simon Mille, Stamatia Dasiopoulou, Beatriz Fisas, Leo Wanner
Statistical generators increasingly dominate the research in NLG.
1 code implementation • COLING (MWE) 2020 • Beatriz Fisas, Luis Espinosa Anke, Joan Codina-Filbá, Leo Wanner
Collocations in the sense of idiosyncratic lexical co-occurrences of two syntactically bound words traditionally pose a challenge to language learners and many Natural Language Processing (NLP) applications alike.