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Answer Set Programming Applied to Coreference Resolution and Semantic Similarity

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dc.contributor.authorsSchueller, Peter
dc.date.accessioned2022-03-12T22:26:02Z
dc.date.accessioned2026-01-11T05:56:59Z
dc.date.available2022-03-12T22:26:02Z
dc.date.issued2018
dc.description.abstractWe describe two research projects about solving problems in Computational Linguistics using Answer Set Programming, and we conclude with several lessons learned from these projects.
dc.identifier.doi10.1007/s13218-018-0539-7
dc.identifier.eissn1610-1987
dc.identifier.issn0933-1875
dc.identifier.urihttps://hdl.handle.net/11424/235005
dc.identifier.wosWOS:000441607800023
dc.language.isoeng
dc.publisherSPRINGER HEIDELBERG
dc.relation.ispartofKUNSTLICHE INTELLIGENZ
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectABDUCTION
dc.titleAnswer Set Programming Applied to Coreference Resolution and Semantic Similarity
dc.typearticle
dspace.entity.typePublication
oaire.citation.endPage208
oaire.citation.issue2-3
oaire.citation.startPage207
oaire.citation.titleKUNSTLICHE INTELLIGENZ
oaire.citation.volume32

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