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dc.contributor.authorVilares, David
dc.contributor.authorGómez-Rodríguez, Carlos
dc.date.accessioned2024-05-29T12:33:12Z
dc.date.available2024-05-29T12:33:12Z
dc.date.issued2018-06
dc.identifier.citationDavid Vilares and Carlos Gómez-Rodríguez. 2018. A Transition-Based Algorithm for Unrestricted AMR Parsing. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers), pages 142–149, New Orleans, Louisiana. Association for Computational Linguistics.es_ES
dc.identifier.urihttp://hdl.handle.net/2183/36705
dc.descriptionThe Conference was held in New Orleans, June 1 to June 6, 2018 at the Hyatt Regency New Orleans hotel.es_ES
dc.description.abstract[Absctract]: Non-projective parsing can be useful to handle cycles and reentrancy in AMR graphs. We explore this idea and introduce a greedy left-to-right non-projective transition-based parser. At each parsing configuration, an oracle decides whether to create a concept or whether to connect a pair of existing concepts. The algorithm handles reentrancy and arbitrary cycles natively, i.e. within the transition system itself. The model is evaluated on the LDC2015E86 corpus, obtaining results close to the state of the art, including a Smatch of 64%, and showing good behavior on reentrant edges.es_ES
dc.description.sponsorshipThis work is funded from the European Research Council (ERC), under the European Union’s Horizon 2020 research and innovation programme (FASTPARSE, grant agreement No 714150), from the TELEPARES-UDC project (FFI2014- 51978-C2-2-R) and the ANSWER-ASAP project (TIN2017-85160-C2-1-R) from MINECO, and from Xunta de Galicia (ED431B 2017/01). We gratefully acknowledge NVIDIA Corporation for the donation of a GTX Titan X GPU.es_ES
dc.description.sponsorshipXunta de Galicia; ED431B 2017/01es_ES
dc.language.isoenges_ES
dc.publisherAssociation for Computational Linguisticses_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/714150es_ES
dc.relationinfo:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/FFI2014-51978-C2-2-R/ES/TECNOLOGÍAS DE LA LENGUA PARA ANÁLISIS DE OPINIONES EN REDES SOCIALES: DEL TEXTO AL MICROTEXTOes_ES
dc.relationinfo: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 PROFUNDOes_ES
dc.relation.urihttps://aclanthology.org/N18-2023/es_ES
dc.rightsAtribución 3.0 Españaes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectTransition-Based Algorithmes_ES
dc.subjectUnrestricted AMR parsinges_ES
dc.subjectCovington parsing algorithmes_ES
dc.subjectNon-Projective Parsinges_ES
dc.subjectReentrancy Handlinges_ES
dc.titleA Transition-Based Algorithm for Unrestricted AMR Parsinges_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleProceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)es_ES
UDC.startPage142es_ES
UDC.endPage149es_ES
UDC.conferenceTitle16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL HLT)es_ES


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