Transferring knowledge from discourse to arguments: a case study with scientific abstracts

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  • dc.contributor.author Accuosto, Pablo
  • dc.contributor.author Saggion, Horacio
  • dc.date.accessioned 2019-09-26T09:26:21Z
  • dc.date.available 2019-09-26T09:26:21Z
  • dc.date.issued 2019
  • dc.description Comunicació presentada a: 6th Workshop on Argument Mining celebrat l'1 d'agost de 2019 a Florència, Itàlia.
  • dc.description.abstract In this work we propose to leverage resources available with discourse-level annotations to facilitate the identification of argumentative components and relations in scientific texts, which has been recognized as a particularly challenging task. In particular, we implement and evaluate a transfer learning approach in which contextualized representations learned from discourse parsing tasks are used as input of argument mining models. As a pilot application, we explore the feasibility of using automatically identified argumentative components and relations to predict the acceptance of papers in computer science venues. In order to conduct our experiments, we propose an annotation scheme for argumentative units and relations and use it to enrich an existing corpus with an argumentation layer.
  • dc.description.sponsorship This work is (partly) supported by the Spanish Government under the Mar´ıa de Maeztu Units of Excellence Programme (MDM-2015-0502).
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Accuosto P, Saggion H. Transferring knowledge from discourse to arguments: a case study with scientific abstracts. In: Stein B, Wachsmuth H, editors. Proceedings of the 6th Workshop on Argument Mining; 2019 Aug 1; Florence, Italy. Stroudsburg: Association for Computational Linguistics; 2019. p. 41-51. DOI: 10.18653/v1/W19-4505
  • dc.identifier.doi http://dx.doi.org/10.18653/v1/W19-4505
  • dc.identifier.uri http://hdl.handle.net/10230/42339
  • dc.language.iso eng
  • dc.publisher ACL (Association for Computational Linguistics)
  • dc.relation.ispartof Stein B, Wachsmuth H, editors. Proceedings of the 6th Workshop on Argument Mining; 2019 Aug 1; Florence, Italy. Stroudsburg: Association for Computational Linguistics; 2019. p. 41-51.
  • dc.rights © ACL, Creative Commons Attribution 4.0 License
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri https://creativecommons.org/licenses/by/4.0/
  • dc.title Transferring knowledge from discourse to arguments: a case study with scientific abstracts
  • dc.type info:eu-repo/semantics/conferenceObject
  • dc.type.version info:eu-repo/semantics/publishedVersion

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Congressos (Departament de Tecnologies de la Informació i les Comunicacions)