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dc.contributor.authorSilva, Vivian S.
dc.contributor.authorHürliman, Manuela
dc.contributor.authorDavis, Brian
dc.contributor.authorHandschuh, Siegfried
dc.contributor.authorFreitas, André
dc.identifier.citationVivian S Silva, Manuela Hürliman, Brian Davis, Siegfried Handschuh, André Freitas (2016) Semantic relation classification: task formalisation and refinement. Paper presented at the Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V), Osaka, Japan, 12 Dec 2016.en_IE
dc.description.abstractThe identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, semantic relation classification concentrates on relations which are evaluated over open-domain data. This work provides a critique on the set of abstract relations used for semantic relation classification with regard to their ability to express relationships between terms which are found in a domain-specific corpora. Based on this analysis, this work proposes an alternative semantic relation model based on reusing and extending the set of abstract relations present in the DOLCE ontology. The resulting set of relations is well grounded, allows to capture a wide range of relations and could thus be used as a foundation for automatic classification of semantic relations.en_IE
dc.description.sponsorshipThis work is in part funded by the SSIX Horizon 2020 project (grant agreement No 645425). Vivian S. Silva is a CNPq Fellow – Brazil.en_IE
dc.publisherAssociation for Computational Linguisticsen_IE
dc.relation.ispartofCogAlex-V @COLING 2016en
dc.subjectData analyticsen_IE
dc.subjectSemantic relationsen_IE
dc.subjectNatural language processingen_IE
dc.subjectSemantic relation classificationen_IE
dc.titleSemantic relation classification: task formalisation and refinementen_IE
dc.typeWorkshop paperen_IE
dc.local.contactManuela Hurlimann, Insight, Ida Business Park, Nui Galway. - Email:

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