Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/90386
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dc.contributorDepartment of Chinese and Bilingual Studiesen_US
dc.creatorChersoni, Een_US
dc.creatorRambelli, Gen_US
dc.creatorSantus, Een_US
dc.date.accessioned2021-06-28T07:25:44Z-
dc.date.available2021-06-28T07:25:44Z-
dc.identifier.isbn978-4-87974-721-1en_US
dc.identifier.urihttp://hdl.handle.net/10397/90386-
dc.language.isoenen_US
dc.rightsThis work is licenced under a Creative Commons Attribution 4.0 International Licence.en_US
dc.rightsLicence details: http://creativecommons.org/licenses/by/4.0/en_US
dc.titleCogALex-V shared task : ROOT18en_US
dc.typeConference Paperen_US
dcterms.abstractIn this paper, we describe ROOT 18, a classifier using the scores of several unsupervised distributional measures as features to discriminate between semantically related and unrelated words, and then to classify the related pairs according to their semantic relation (i.e. synonymy, antonymy, hypernymy, part-whole meronymy). Our classifier participated in the CogALex-V Shared Task, showing a solid performance on the first subtask, but a poor performance on the second subtask. The low scores reported on the second subtask suggest that distributional measures are not sufficient to discriminate between multiple semantic relations at once.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationProceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), Osaka, Japan, December 2016, p. 98-103en_US
dcterms.issued2016-
dc.relation.ispartofbookProceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)en_US
dc.description.validate202106 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumbera0670-n08-
dc.description.pubStatusPublisheden_US
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