Discourse-driven argument mining in scientific abstracts
| dc.contributor.author | Accuosto, Pablo | |
| dc.contributor.author | Saggion, Horacio | |
| dc.date.accessioned | 2019-07-02T10:58:49Z | |
| dc.date.available | 2019-07-02T10:58:49Z | |
| dc.date.issued | 2019 | |
| dc.description | Comunicació presentada a: 24th International Conference on Applications of Natural Language to Information Systems (NLDB), celebrat del 26 al 28 de juny de 2019 a Salford, Regne Unit. | |
| dc.description.abstract | Argument mining consists in the automatic identification of argumentative structures in texts. In this work we address the open question of whether discourse-level annotations can contribute to facilitate the identification of argumentative components and relations in scientific literature. We conduct a pilot study by enriching a corpus of computational linguistics abstracts that contains discourse annotations with a new argumentative annotation level. The results obtained from preliminary experiments confirm the potential value of the proposed approach. | |
| dc.description.sponsorship | This work is (partly) supported by the Spanish Government under the María de Maeztu Units of Excellence Programme (MDM-2015-0502). | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.citation | Accuosto P, Saggion H. Discourse-driven argument mining in scientific abstracts. In: Métais E, Meziane F, Vadera S, Sugumaran V, Saraee M, editors. Natural Language Processing and Information Systems. 24th International Conference on Applications of Natural Language to Information Systems; 2019 Jun 26-28; Salford, UK. Heidelberg: Springer; 2019. p. 182-94. (LNCS, no. 11608). DOI: 10.1007/978-3-030-23281-8_15 | |
| dc.identifier.doi | http://dx.doi.org/10.1007/978-3-030-23281-8_15 | |
| dc.identifier.isbn | 978-3-030-23280-1 | |
| dc.identifier.uri | http://hdl.handle.net/10230/41907 | |
| dc.language.iso | eng | |
| dc.publisher | Springer | |
| dc.relation.ispartof | Métais E, Meziane F, Vadera S, Sugumaran V, Saraee M, editors. Natural Language Processing and Information Systems. 24th International Conference on Applications of Natural Language to Information Systems; 2019 Jun 26-28; Salford, UK. Heidelberg: Springer; 2019. p. 182-94. (LNCS, no. 11608). | |
| dc.rights | © Springer The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-23281-8_15 | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject.keyword | Argument mining | |
| dc.subject.keyword | RST | |
| dc.subject.keyword | Scientific corpus | |
| dc.title | Discourse-driven argument mining in scientific abstracts | |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion |
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