Listar por autor "Gómez-Rodríguez, Carlos"
Mostrando ítems 21-40 de 75
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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, ... -
GRALENIA: Antimicrobial Resistance Management based on Natural Language and Artificial Intelligence
Bernardo-Castiñeira, Cristóbal; Bou, Germán; Campos, Manuel; Cánovas-Segura, Bernardo; Figueiras Gómez, Sergio; Gómez-Rodríguez, Carlos; Míguez-Rey, Enrique; Vilares, Jesús (CEUR-WS, 2024)[Abstract]: The objective of GRALENIA project is to develop a multidisciplinary, comprehensive and interoperable platform incorporating artificial intelligence algorithms and natural language processing techniques to improve ... -
Grammar Assistance Using Syntactic Structures (GAUSS)
Zamaraeva, Olga; Suárez Allegue, Lorena; Gómez-Rodríguez, Carlos; Alonso-Ramos, Margarita; Ogneva, Anastasiia (CEUR-WS, 2024)[Abstract]: Automatic grammar coaching serves an important purpose of advising on standard grammar varieties while not imposing social pressures or reinforcing established social roles. Such systems already exist but most ... -
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 ... -
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 ... -
Intelligent retrieval for biodiversity
Vilares Ferro, Manuel; Fernández, Milagros; Blanco, Adrián; Gómez-Rodríguez, Carlos (2016-02)[Abstract] A knowledge discovery and representation frame to mine contents in systems biology is described. It applies natural language processing to integrate linguistic and domain knowledge in a mathematical model for ... -
Left-to-Right Dependency Parsing with Pointer Networks
Fernández-González, Daniel; Gómez-Rodríguez, Carlos (Association for Computational Linguistics (ACL), 2019)[Abstract]: We propose a novel transition-based algorithm that straightforwardly parses sentences from left to right by building n attachments, with n being the length of the input sentence. Similarly to the recent ... -
Liberating language research from dogmas of the 20th century
Ferrer-i-Cancho, Ramon; Gómez-Rodríguez, Carlos (2016)[Abstract] A commentary on the article “Large -scale evidence of dependency length minimization in 37 languages” by Futrell, Mahowald & Gibson (PNAS 2015 112 (33) 10336-10341). -
LyS at SemEval-2016 Task 4: Exploiting Neural Activation Values for Twitter Sentiment Classification and Quantification
Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Association for Computational Linguistics, 2016)[Abstract]: In this paper we describe our deep learning approach for solving both two-, three- and fiveclass tweet polarity classification, and twoand five-class quantification. We first trained a convolutional neural ... -
LyS at TASS 2013: Analysing Spanish tweets by means of dependency parsing, semantic-oriented lexicons and psychometric word-properties
Vilares, David; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)[Abstract]: This article describes the approach developed by our group in order to resolve the sentiment analysis at a global level, topic identification and political tendency classification tasks on Spanish tweets; ... -
LyS at TASS 2014: A Prototype for Extracting and Analysing Aspects from Spanish tweets
Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (Sociedad Española para el Procesamiento del Lenguaje Natural, 2014)[Abstract]: This paper describes our participation at the third edition of the work- shop on Sentiment Analysis focused on Spanish tweets, tass 2014. This year’s eval- uation campaign includes four challenges: (1) global ... -
LyS at TASS 2015: Deep Learning Experiments for Sentiment Analysis on Spanish Tweets
Vilares, David; Doval, Yerai; Alonso, Miguel A.; Gómez-Rodríguez, Carlos (CEUR-WS Workshop Proceedings, 2015)[Abstract]: This paper describes the participation of the LyS group at tass 2015. In this year’s edition, we used a long short-term memory neural network to address the two proposed challenges: (1) sentiment analysis at ... -
LyS: Porting a Twitter Sentiment Analysis Approach from Spanish to English
Vilares, David; Hermo, Miguel; Alonso, Miguel A.; Gómez-Rodríguez, Carlos; Doval, Yerai (Association for Computational Linguistics, 2014)[Abstract]: This paper proposes an approach to solve message- and phrase-level polarity classification in Twitter, derived from an existing system designed for Spanish. As a first step, an ad-hoc preprocessing is performed. ...
