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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 17 of 17 1 On the logistical difficulties and findings of Jopara Sentiment Analysis ... Agüero-Torales, Marvin M.; Vilares, David; López-Herrera, Antonio G.. - : arXiv, 2021 BASE Show details 2 Bertinho: Galician BERT Representations ... Vilares, David; Garcia, Marcos; Gómez-Rodríguez, Carlos. - : arXiv, 2021 BASE Show details 3 On the Logistical Difficulties and Findings of Jopara Sentiment Analysis Agüero-Torales, Marvin M.; López-Herrera, Antonio G.; Vilares, David. - : Association for Computational Linguistics, 2021 BASE Show details 4 Sentiment Analysis for Fake News Detection Alonso, Miguel A.; Vilares, David; Gómez-Rodríguez, Carlos. - : MDPI, 2021 BASE Show details 5 Viability of Sequence Labeling Encodings for Dependency Parsing Strzyz, Michalina. - 2021 BASE Show details 6 Bracketing Encodings for 2-Planar Dependency Parsing ... The 28th International Conference on Computational Linguistics 2020; Gómez-Rodríguez, Carlos; Strzyz, Michalina. - : Underline Science Inc., 2020 BASE Show details 7 Artificially Evolved Chunks for Morphosyntactic Analysis ... Anderson, Mark; Vilares, David; Gómez-Rodríguez, Carlos. - : arXiv, 2019 BASE Show details 8 Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter ... Vilares, David; Gómez-Rodríguez, Carlos. - : arXiv, 2018 BASE Show details 9 Increasing NLP Parsing Efficiency with Chunking Anderson, Mark Dáibhidh; Vilares, David. - : M D P I AG, 2018 Abstract: Trátase dun resumo extendido da ponencia ; [Abstract] We introduce a “Chunk-and-Pass” parsing technique influenced by a psycholinguistic model, where linguistic information is processed not word-by-word but rather in larger chunks of words. We present preliminary results that show that it is feasible to compress linguistic data into chunks without significantly diminishing parsing performance and potentially increasing the speed. Keyword: Chunking; Dependency parsing; Natural language processing; Parsing; Syntax URL: http://hdl.handle.net/2183/21161 https://doi.org/10.3390/proceedings2181160 BASE Hide details 10 CoNLL 2017 Shared Task System Outputs Zeman, Daniel; Potthast, Martin; Straka, Milan. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017 BASE Show details 11 Towards Syntactic Iberian Polarity Classification ... Vilares, David; Garcia, Marcos; Alonso, Miguel A.. - : arXiv, 2017 BASE Show details 12 A non-projective greedy dependency parser with bidirectional LSTMs ... Vilares, David; Gómez-Rodríguez, Carlos. - : arXiv, 2017 BASE Show details 13 Compositional language processing for multilingual sentiment analysis Vilares, David. - 2017 BASE Show details 14 Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe Vilares, David; Alonso, Miguel A; Gómez-Rodríguez, Carlos. - 2017 BASE Show details 15 Universal, Unsupervised (Rule-Based), Uncovered Sentiment Analysis ... Vilares, David; Gómez-Rodríguez, Carlos; Alonso, Miguel A.. - : arXiv, 2016 BASE Show details 16 Lyapunov filtering of objectivity for Spanish sentiment model Chaturvedi, Iti; Cambria, Erik; Vilares, David. - : Institute of Electrical and Electronics Engineers, 2016 BASE Show details 17 One model, two languages: training bilingual parsers with harmonized treebanks ... Vilares, David; Gómez-Rodríguez, Carlos; Alonso, Miguel A.. - : arXiv, 2015 BASE Show details

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