Listar por autor "Gómez-Rodríguez, Carlos"
Mostrando ítems 1-20 de 57
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4 and 7-bit Labeling for Projective and Non-Projective Dependency Trees
Gómez-Rodríguez, Carlos; Roca Rodríguez, Diego; Vilares, David (Association for Computational Linguistics, 2023-12)[Absctract]: We introduce an encoding for parsing as sequence labeling that can represent any projective dependency tree as a sequence of 4-bit labels, one per word. The bits in each word’s label represent (1) whether it ... -
A linguistic approach for determining the topics of Spanish Twitter messages
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (SAGE Publications & CILIP, 2015)[Abstract]: The vast number of opinions and reviews provided in Twitter is helpful in order to make interesting findings about a given industry, but given the huge number of messages published every day, it is important ... -
A non-projective greedy dependency parser with bidirectional LSTMs
Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2017-08)[Abstract]: The LyS-FASTPARSE team present BIST-COVINGTON, a neural implementation of the Covington (2001) algorithm for non-projective dependency parsing. The bidirectional LSTM approach by Kiperwasser and Goldberg (2016) ... -
A syntactic approach for opinion mining on Spanish reviews
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Cambridge University Press, 2015-01)[Abstract]: We describe an opinion mining system which classifies the polarity of Spanish texts. We propose an NLP approach that undertakes pre-processing, tokenisation and POS tagging of texts to then obtain the syntactic ... -
A Unifying Theory of Transition-based and Sequence Labeling Parsing
Gómez-Rodríguez, Carlos; Strzyz, Michalina; Vilares, David (International Committee on Computational Linguistics, 2020-12)[Absctract]: We define a mapping from transition-based parsing algorithms that read sentences from left to right to sequence labeling encodings of syntactic trees. This not only establishes a theoretical relation between ... -
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 ... -
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 ... -
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 ... -
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, ... -
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 ... -
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 ... -
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 ... -
EN-ES-CS: An English-Spanish Code-Switching Twitter Corpus for Multilingual Sentiment Analysis
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (European Language Resources Association (ELRA), 2016-05)[Abstract]: Code-switching texts are those that contain terms in two or more different languages, and they appear increasingly often in social media. The aim of this paper is to provide a resource to the research community ... -
Faster shift-reduce constituent parsing with a non-binary, bottom-up strategy
Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Elsevier B.V., 2019-10)[Absctract]: An increasingly wide range of artificial intelligence applications rely on syntactic information to process and extract meaning from natural language text or speech, with constituent trees being one of the ... -
From Partial to Strictly Incremental Constituent Parsing
Ezquerro, Ana; Gómez-Rodríguez, Carlos; Vilares, David (Association for Computational Linguistics, 2024-03)[Absctract]: We study incremental constituent parsers to assess their capacity to output trees based on prefix representations alone. Guided by strictly left-to-right generative language models and tree-decoding modules, ... -
HEAD-QA: A Healthcare Dataset for Complex Reasoning
Vilares, David; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2019-07)[Absctract]: We present HEAD-QA, a multi-choice question answering testbed to encourage research on complex reasoning. The questions come from exams to access a specialized position in the Spanish healthcare system, and ... -
How important is syntactic parsing accuracy? An empirical evaluation on rule-based sentiment analysis
Gómez-Rodríguez, Carlos; Alonso-Alonso, Iago; Vilares, David (Springer, 2019)[Abstract]: Syntactic parsing, the process of obtaining the internal structure of sentences in natural languages, is a crucial task for artificial intelligence applications that need to extract meaning from natural language ...
