Towards multiple antecedent coreference resolution in specialized discourse

dc.contributor.authorBurga Díaz, Aliciaca
dc.contributor.authorCajal, Sergioca
dc.contributor.authorCodina Filbà, Joanca
dc.contributor.authorWanner, Leoca
dc.date.accessioned2017-09-06T14:04:03Z
dc.date.available2017-09-06T14:04:03Z
dc.date.issued2016
dc.descriptionComunicació presentada a: LREC 2016, Tenth International Conference on Language Resources and Evaluation, celebrada del 23 al 28 de maig de 2016 a Portorož, Eslovènia.en
dc.description.abstractDespite the popularity of coreference resolution as a research topic, the overwhelming majority of the work in this area focused so far on single antecedence coreference only. Multiple antecedent coreference (MAC) has been largely neglected. This can be explained by the scarcity of the phenomenon of MAC in generic discourse. However, in specialized discourse such as patents, MAC is very dominant. It seems thus unavoidable to address the problem of MAC resolution in the context of tasks related to automatic patent material processing, among them abstractive summarization, deep parsing of patents, construction of concept maps of the inventions, etc. We present the first version of an operational rule-based MAC resolution strategy for patent material that covers the three major types of MAC: (i) nominal MAC, (ii) MAC with personal / relative pronouns, and MAC with reflexive / reciprocal pronouns. The evaluation shows that our strategy performs well in terms of precision and recall.en
dc.description.sponsorshipThe research reported in this paper has been carried out in the scope of the iPatDoc project, which was funded by the European Commision under the contract number FP7-SME-606163.en
dc.format.mimetypeapplication/pdf
dc.identifier.citationBurga A, Cajal S, Codina-Filbà J, Wanner L. Towards multiple antecedent coreference resolution in specialized discourse. In: Calzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 23-28 May; Portorož, Slovenia. [Place unknown]: LREC, 2017. p. 2052-7.
dc.identifier.urihttp://hdl.handle.net/10230/32754
dc.language.isoeng
dc.publisherLRECca
dc.relation.ispartofCalzolari N, Choukri K, Declerck T, Goggi S, Grobelnik M, Maegaard B, Mariani J, Mazo H, Moreno A, Odijk J, Piperidis S. LREC 2016, Tenth International Conference on Language Resources and Evaluation; 2016 23-28 May; Portorož, Slovenia. [Place unknown]: LREC, 2017. p. 2052-7.
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/606163
dc.rights© The European Language Resources Association. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subject.keywordMultiple antecedent coreferenceen
dc.subject.keywordSplit antecedent coreferenceen
dc.subject.keywordCoreference evaluationen
dc.subject.keywordPatent processingen
dc.titleTowards multiple antecedent coreference resolution in specialized discourseca
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
burga_lrec16_towa.pdf
Size:
173.86 KB
Format:
Adobe Portable Document Format

License

Rights