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A Unifying Theory of Transition-based and Sequence Labeling Parsing
dc.contributor.author | Gómez-Rodríguez, Carlos | |
dc.contributor.author | Strzyz, Michalina | |
dc.contributor.author | Vilares, David | |
dc.date.accessioned | 2024-05-24T11:53:29Z | |
dc.date.available | 2024-05-24T11:53:29Z | |
dc.date.issued | 2020-12 | |
dc.identifier.citation | Carlos Gómez-Rodríguez, Michalina Strzyz, and David Vilares. 2020. A Unifying Theory of Transition-based and Sequence Labeling Parsing. In Proceedings of the 28th International Conference on Computational Linguistics, pages 3776–3793, Barcelona, Spain (Online). International Committee on Computational Linguistics. | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/36615 | |
dc.description | Held online due to COVID-19. December 2020, Barcelona, Spain | es_ES |
dc.description.abstract | [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 transition-based parsing and sequence-labeling parsing, but also provides a method to obtain new encodings for fast and simple sequence labeling parsing from the many existing transition-based parsers for different formalisms. Applying it to dependency parsing, we implement sequence labeling versions of four algorithms, showing that they are learnable and obtain comparable performance to existing encodings. | es_ES |
dc.description.sponsorship | This work has received funding from the European Research Council (ERC), which has funded this research under the European Union’s Horizon 2020 research and innovation programme (FASTPARSE, grant agreement No 714150), from MINECO (ANSWER-ASAP, TIN2017-85160-C2-1-R), from Xunta de Galicia (ED431C 2020/11), and from Centro de Investigacion de Galicia ‘CITIC’, funded by Xunta de ´ Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by grant ED431G 2019/01. DV is supported by a 2020 Leonardo Grant for Researchers and Cultural Creators from the BBVA Foundation. | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C 2020/11 | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431G 2019/01 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | International Committee on Computational Linguistics | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/714150 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-85160-C2-1-R/ES/AVANCES EN NUEVOS SISTEMAS DE EXTRACCION DE RESPUESTAS CON ANALISIS SEMANTICO Y APRENDIZAJE PROFUNDO | es_ES |
dc.relation.uri | https://aclanthology.org/2020.coling-main.336/ | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Transition-based Parsing | es_ES |
dc.subject | Sequence Labeling Parsing | es_ES |
dc.subject | Syntactic Trees | es_ES |
dc.subject | Parsing Algorithms | es_ES |
dc.title | A Unifying Theory of Transition-based and Sequence Labeling Parsing | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
dc.rights.access | info:eu-repo/semantics/openAccess | es_ES |
UDC.journalTitle | Proceedings of the 28th International Conference on Computational Linguistics | es_ES |
UDC.startPage | 3776 | es_ES |
UDC.endPage | 3793 | es_ES |
UDC.conferenceTitle | 28th International Conference on Computational Linguistics (COLING'2020) | es_ES |
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