• Another Dead End for Morphological Tags? Perturbed Inputs and Parsing 

      Muñoz-Ortiz, Alberto; Vilares, David (Association for Computational Linguistics, 2023-07)
      [Absctract]: The usefulness of part-of-speech tags for parsing has been heavily questioned due to the success of word-contextualized parsers. Yet, most studies are limited to coarse-grained tags and high quality written ...
    • Any papyrus about "a hand over a stool and a bread loaf, followed by a boat"? Dealing with hieroglyphic texts in IR 

      Iglesias-Franjo, Estíbaliz; Vilares, Jesús (ACM International Conference Proceeding Series, 2016-06)
      [Abstract] Digital Heritage deals with the use of computing and information technologies for the preservation and study of the human cultural legacy. Within this context, we present here a Text Retrieval system developed ...
    • Una aproximación supervisada para la minería de opiniones sobre tuits en español en base a conocimiento lingüístico 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Resumen]: En este artículo se describe un sistema para la clasificación de la polaridad de tuits escritos en español. Se adopta una aproximación híbrida, que combina conocimiento lingüístico obtenido mediante PLN con ...
    • Artificially Evolved Chunks for Morphosyntactic Analysis 

      Anderson, Mark; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-08)
      [Absctract]: We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks, namely POS tagging, ...
    • Assessment of Pre-Trained Models Across Languages and Grammars 

      Muñoz-Ortiz, Alberto; Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2023-11)
      [Absctract]: We present an approach for assessing how multilingual large language models (LLMs) learn syntax in terms of multi-formalism syntactic structures. We aim to recover constituent and dependency structures by ...
    • Better, Faster, Stronger Sequence Tagging Constituent Parsers 

      Vilares, David; Abdou, Mostafa; Søgaard, Anders (Association for Computational Linguistics, 2019-06)
      [Absctract]: Sequence tagging models for constituent parsing are faster, but less accurate than other types of parsers. In this work, we address the following weaknesses of such constituent parsers: (a) high error rates ...
    • Bracketing Encodings for 2-Planar Dependency Parsing 

      Strzyz, Michalina; Vilares, David; Gómez-Rodríguez, Carlos (International Committee on Computational Linguistics, 2020-12)
      [Absctract]: We present a bracketing-based encoding that can be used to represent any 2-planar dependency tree over a sentence of length n as a sequence of n labels, hence providing almost total coverage of crossing arcs ...
    • Building a New Sentiment Analysis Dataset for Uzbek Language and Creating Baseline Models 

      Kuriyozov, Elmurod; Matlatipov, Sanatbek (2019-08-02)
      [Abstract] Making natural language processing technologies available for low-resource languages is an important goal to improve the access to technology in their communities of speakers. In this paper, we provide the first ...
    • Clasificación de polaridad en textos con opiniones en español mediante análisis sintáctico de dependencias 

      Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
      [Resumen]: En este artículo se describe un sistema de minería de opiniones que clasifica la polaridad de textos en español. Se propone una aproximación basada en PLN que conlleva realizar una segmentación, tokenización y ...
    • Cognitive Constraints Built into Formal Grammars: Implications for Language Evolution 

      Gómez-Rodríguez, Carlos; Christiansen, Morten H.; Ferrer-i-Cancho, Ramon (Ravignani, A., Barbieri, C., Martins, M., Flaherty, M., Jadoul, Y., Lattenkamp, E., Little, H., Mudd, K., Verhoef, T., 2020-04-17)
      [Abstract] We study the validity of the cognitive independence assumption using an ensemble of artificial syntactic structures from various classes of dependency grammars. Our findings show that memory limitations have ...
    • Constituent Parsing as Sequence Labeling 

      Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics (ACL), 2018)
      [Absctract]: We introduce a method to reduce constituent parsing to sequence labeling. For each word wt, it generates a label that encodes: (1) the number of ancestors in the tree that the words wt and wt+1 have in common, ...
    • Construcción de una lista de colocaciones para medir la competencia colocacional 

      Orol-González, Ana (Centro Virtual Cervantes, 2015)
      [Abstrac] The aim of this work is to create a list of Spanish collocations with assessment purpose. For the creation of this list we have followed a set of previously established criteria which are based on lists of frequent ...
    • Creación de un treebank de dependencias universales mediante recursos existentes para lenguas próximas: el caso del gallego 

      García, Marcos; Gómez-Rodríguez, Carlos; Alonso, Miguel A. (Sociedad Española para el Procesamiento del Lenguaje Natural, 2016-09)
      [Resumen] En este trabajo presentamos una nueva estrategia para crear treebanks de lenguas con pocos recursos para el análisis sintáctico. El método consiste en la adaptación y combinación de diferentes treebanks anotados ...
    • Cross-lingual Inflection as a Data Augmentation Method for Parsing 

      Muñoz-Ortiz, Alberto; Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics, 2022-05)
      [Absctract]: We propose a morphology-based method for low-resource (LR) dependency parsing. We train a morphological inflector for target LR languages, and apply it to related rich-resource (RR) treebanks to create ...
    • Dependency parsing with bottom-up Hierarchical Pointer Networks 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2023-03)
      [Abstract] Dependency parsing is a crucial step towards deep language understanding and, therefore, widely demanded by numerous Natural Language Processing applications. In particular, left-to-right and top-down transition-based ...
    • Detecting Perspectives in Political Debates 

      Vilares, David; He, Yulan (Association for Computational Linguistics, 2017-09)
      [Abstract]: We explore how to detect people’s perspectives that occupy a certain proposition. We propose a Bayesian modelling approach where topics (or propositions) and their associated perspectives (or viewpoints) are ...
    • Developing Open-Source Roguelike Games for Visually-Impaired Players by Using Low-Complexity NLP Techniques 

      Fernández-Núñez, Luis; Penas, Darío; Viteri Letamendía, Jorge; Vilares, Jesús (MDPI, 2020-08-19)
      [Abstract] The prominent graphic component of video games greatly limits the accessibility of thistype of entertainment by visually impaired users. We make here an overview of the first gamesdeveloped within an initiative ...
    • Discontinuous Constituent Parsing as Sequence Labeling 

      Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2020-11)
      [Absctract]: This paper reduces discontinuous parsing to sequence labeling. It first shows that existing reductions for constituent parsing as labeling do not support discontinuities. Second, it fills this gap and proposes ...
    • Discontinuous grammar as a foreign language 

      Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier, 2023-03)
      [Abstract] In order to achieve deep natural language understanding, syntactic constituent parsing is a vital step, highly demanded by many artificial intelligence systems to process both text and speech. One of the most ...
    • Discovering Topics in Twitter About the COVID-19 Outbreak in Spain 

      Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G. (Sociedad Española de Procesamiento del Lenguaje Natural, 2021)
      [Resumen] En este trabajo, analizamos lo que los usuarios han estado discutiendo en Twitter durante el comienzo de la pandemia causada por el COVID-19. Concretamente, analizamos tres fases diferenciadas de la crisis del ...