Publication:
Adjudication of coreference annotations via finding optimal repairs of equivalence relations

dc.contributor.authorsSchüller P.
dc.date.accessioned2022-03-28T15:07:17Z
dc.date.accessioned2026-01-11T14:33:50Z
dc.date.available2022-03-28T15:07:17Z
dc.date.issued2016
dc.description.abstractWe describe encodings for merging multiple coreference annotations into a single annotation, subject to hard constraints (consistency) and optimization criteria (minimal divergence from annotators) using Answer Set Programming (ASP). This task requires guessing an equivalence relation with a large number of elements. We report on experiments with real-world instances based on the METU-Sabanci Turkish Treebank using the ASP tools Gringo, Clasp, and Wasp. We also describe a patch for Gringo which facilitates fine-grained instantiation analysis and use it to analyze experimental results.
dc.identifier.issn16130073
dc.identifier.urihttps://hdl.handle.net/11424/257200
dc.language.isoeng
dc.publisherCEUR-WS
dc.relation.ispartofCEUR Workshop Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdjudication
dc.subjectAnswer Set Programming
dc.subjectCoreference resolution
dc.titleAdjudication of coreference annotations via finding optimal repairs of equivalence relations
dc.typeconferenceObject
dspace.entity.typePublication
oaire.citation.endPage71
oaire.citation.startPage57
oaire.citation.titleCEUR Workshop Proceedings
oaire.citation.volume1745

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