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AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library

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dc.contributor.author Boleda, Gemma
dc.contributor.author Aina, Laura
dc.contributor.author Silberer, Carina
dc.contributor.author Sorodoc, Ionut-Teodor
dc.contributor.author Westera, Matthijs
dc.date.accessioned 2018-09-19T10:07:27Z
dc.date.available 2018-09-19T10:07:27Z
dc.date.issued 2018
dc.identifier.citation Aina L, Silberer C, Sorodoc IT, Westera M, Boleda G. AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library. In: Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 65–9.
dc.identifier.uri http://hdl.handle.net/10230/35468
dc.description Comunicació presentada al 12th International Workshop on Semantic Evaluation (SemEval-2018), celebrat els dies 5 i 6 de juny de 2018 a Nova Orleans, EUA.
dc.description.abstract This paper describes our winning contribution to SemEval 2018 Task 4: Character Identification on Multiparty Dialogues. It is a simple, standard model with one key innovation, an entity library. Our results show that this innovation greatly facilitates the identification of infrequent characters. Because of the generic nature of our model, this finding is potentially relevant to any task that requires effective learning from sparse or unbalanced data.
dc.description.sponsorship This project has received funding from the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation programme (grant agreement No 715154), and from the Spanish Ramón y Cajal programme (grant RYC-2015-18907).
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Proceedings of the 12th International Workshop on Semantic Evaluation (SemEval-2018); 2018 Jun 5-6; New Orleans, LA. Stroudsburg (PA): ACL; 2018. p. 65–9.
dc.rights © ACL, Creative Commons Attribution 4.0 License
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.title AMORE-UPF at SemEval-2018 Task 4: BiLSTM with entity library
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Computational linguistics
dc.subject.keyword Natural language processing
dc.subject.keyword Computational semantics
dc.subject.keyword Semantic evaluation
dc.subject.keyword Distributional semantics
dc.subject.keyword Reference
dc.subject.keyword Entities
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/715154
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion


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