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dc.contributor.author | Boleda, Gemma |
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dc.contributor.author | Aina, Laura |
dc.contributor.author | Silberer, Carina |
dc.contributor.author | Sorodoc, Ionut-Teodor |
dc.contributor.author | Westera, Matthijs |
dc.date | 2019 |
dc.identifier.citation | Aina L, Silberer C, Sorodoc I, Westera M, Boleda G. What do entity-centric models learn? Insights from entity linking in multi-party dialogue. In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2019 Jun 2-7; Minneapolis, United States of America. Stroudsburg (PA): ACL; 2019. p. 3772–83. |
dc.identifier.uri | http://hdl.handle.net/10230/42450 |
dc.format | application/pdf |
dc.language.iso | eng |
dc.publisher | ACL (Association for Computational Linguistics) |
dc.relation | Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; 2019 Jun 2-7; Minneapolis, United States of America. Stroudsburg (PA): ACL; 2019. p. 3772–83. |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/715154 |
dc.rights | © ACL, Creative Commons Attribution 4.0 License |
dc.rights | info:eu-repo/semantics/openAccess |
dc.rights | http://creativecommons.org/licenses/by/4.0/ |
dc.subject | Deep learning |
dc.subject | Reference |
dc.subject | Entity linking |
dc.subject | Dialogue |
dc.subject | Computational semantics |
dc.subject | Computational linguistics |
dc.title | What do entity-centric models learn? Insights from entity linking in multi-party dialogue |
dc.type | info:eu-repo/semantics/conferenceObject |
dc.type | info:eu-repo/semantics/publishedVersion |
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