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On the Challenges of Fully Incremental Neural Dependency Parsing
dc.contributor.author | Ezquerro, Ana | |
dc.contributor.author | Gómez-Rodríguez, Carlos | |
dc.contributor.author | Vilares, David | |
dc.date.accessioned | 2024-05-22T12:24:21Z | |
dc.date.available | 2024-05-22T12:24:21Z | |
dc.date.issued | 2023-11 | |
dc.identifier.citation | Ana Ezquerro, Carlos Gómez-Rodríguez, and David Vilares. 2023. On the Challenges of Fully Incremental Neural Dependency Parsing. In Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers), pages 52–66, Nusa Dua, Bali. Association for Computational Linguistics. | es_ES |
dc.identifier.uri | http://hdl.handle.net/2183/36573 | |
dc.description | Bali, Indonesia. November 1-4 2023. | es_ES |
dc.description.abstract | [Absctract]: Since the popularization of BiLSTMs and Transformer-based bidirectional encoders, state-of-the-art syntactic parsers have lacked incrementality, requiring access to the whole sentence and deviating from human language processing. This paper explores whether fully incremental dependency parsing with modern architectures can be competitive. We build parsers combining strictly left-to-right neural encoders with fully incremental sequencelabeling and transition-based decoders. The results show that fully incremental parsing with modern architectures considerably lags behind bidirectional parsing, noting the challenges of psycholinguistically plausible parsing. | es_ES |
dc.description.sponsorship | We acknowledge the European Research Council (ERC), which has funded this research under the Horizon Europe research and innovation programme (SALSA, grant agreement No 101100615), ERDF/MICINN-AEI (SCANNERUDC, PID2020-113230RB-C21), Xunta de Galicia (ED431C 2020/11), Cátedra CICAS (Sngular, University of A Coruña), and Centro de Investigación de Galicia “CITIC”, funded by the Xunta de Galicia through the collaboration agreement between the Consellería de Cultura, Educación, Formación Profesional e Universidades and the Galician universities for the reinforcement of the research centres of the Galician University System (CIGUS). | es_ES |
dc.description.sponsorship | Xunta de Galicia; ED431C2020/11 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Association for Computational Linguistics | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/HE/101100615 | es_ES |
dc.relation | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113230RB-C21/ES/MODELOS MULTITAREA DE ETIQUETADO SECUENCIAL PARA EL RECONOCIMIENTO DE ENTIDADES ENRIQUECIDO CON INFORMACIÓN LINGÜÍSTICA: SINTAXIS E INTEGRACIÓN MULTITAREA (SCANNER-UDC) | es_ES |
dc.relation.uri | https://aclanthology.org/2023.ijcnlp-short.7/ | es_ES |
dc.rights | Atribución 3.0 España | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ | * |
dc.subject | Incremental parsing | es_ES |
dc.subject | Neural encoders | es_ES |
dc.subject | Psycholinguistic Plausibility | es_ES |
dc.title | On the Challenges of Fully Incremental Neural Dependency 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 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 2: Short Papers) | es_ES |
UDC.startPage | 52 | es_ES |
UDC.endPage | 66 | es_ES |
UDC.conferenceTitle | 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL 2023) | es_ES |
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