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dc.contributor.authorGlavas, Goran
dc.contributor.authorVulic, Ivan
dc.contributor.authorKorhonen, Anna-Leena
dc.contributor.authorPonzetto, Simone Paolo
dc.date.accessioned2020-12-15T00:31:30Z
dc.date.available2020-12-15T00:31:30Z
dc.date.issued2020-12
dc.identifier.isbn9781952148316
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/315097
dc.description.abstractLexical entailment (LE) is a fundamental asymmetric lexico-semantic relation, supporting the hierarchies in lexical resources (e.g., WordNet, ConceptNet) and applications like natural language inference and taxonomy induction. Multilingual and cross-lingual NLP applications warrant models for LE detection that go beyond language boundaries. As part of SemEval 2020, we carried out a shared task (Task 2) on multilingual and cross-lingual LE. The shared task spans three dimensions: (1) monolingual LE in multiple languages versus cross-lingual LE, (2) binary versus graded LE, and (3) a set of 6 diverse languages (and 15 corresponding language pairs). We offered two different evaluation tracks: (a) distributional (Dist): for unsupervised, fully distributional models that capture LE solely on the basis of unannotated corpora, and (b)Any: for externally informed models, allowed to leverage any resources, including lexico-semantic networks (e.g.,WordNet or BabelNet). In the Any track, we received system runs that push state-of-the-art across all languages and language pairs, for both binary LE detection and graded LE prediction.
dc.publisherInternational Committee for Computational Linguistics
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleSemEval-2020 Task 2: Predicting Multilingual and Cross-Lingual (Graded) Lexical Entailment
dc.typeConference Object
prism.publicationDate2020
prism.publicationNameProceedings of the 14th International Workshop on Semantic Evaluation (SemEval 2020)
dc.identifier.doi10.17863/CAM.62204
dcterms.dateAccepted2020-04-02
rioxxterms.versionofrecord10.17863/CAM.62204
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2020-12
dc.publisher.urlhttps://www.aclweb.org/anthology/2020.semeval-1.2
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEuropean Research Council (648909)
dc.identifier.urlhttps://www.aclweb.org/anthology/2020.semeval-1.2
pubs.conference-name14th International Workshop on Semantic Evaluation (SemEval 2020)
pubs.conference-start-date2020-12-12
pubs.conference-finish-date2020-12-12


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International