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dc.date.accessioned2014-09-22T17:05:41Z
dc.date.available2014-09-22T17:05:41Z
dc.date.created2014-09-21T15:12:21Z
dc.date.issued2014
dc.identifier.urihttp://hdl.handle.net/10852/41222
dc.description.abstractThis paper describes work on using Minimal Recursion Semantics (MRS) representations for the task of recognising textual entailment. I use entailment data from a SemEval-2010 shared task to develop and evaluate an entailment recognition heuristic. I compare my results to the shared task winner, and discuss differences in approaches. Finally, I run my system with multiple MRS representations per sentence, and show that this improves the recognition results for positive entailment sentence pairs. Proceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014, Pages 76-84.en_US
dc.languageEN
dc.language.isoenen_US
dc.titleUsing Minimal Recursion Semantics for Entailment Recognitionen_US
dc.typeChapteren_US
dc.creator.authorLien, Elisabeth
cristin.unitcode185,15,5,0
cristin.unitnameInstitutt for informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
dc.identifier.cristin1156354
dc.identifier.startpage76
dc.identifier.endpage84
dc.identifier.urnURN:NBN:no-45792
dc.type.documentBokkapittelen_US
dc.type.peerreviewedPeer reviewed
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/41222/1/E14-3009.pdf
dc.type.versionPublishedVersion
cristin.btitleProceedings of the Student Research Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics


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