BAISA, Vít, Silvie CINKOVA, Ema KREJČOVÁ and Anna VERNEROVÁ. VPS-GradeUp: Graded Decisions on Usage Patterns. Online. In Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Marko Grobelnik and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož, Slovenia: European Language Resources Association (ELRA), 2016, p. 823-827. ISBN 978-2-9517408-9-1.
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Basic information
Original name VPS-GradeUp: Graded Decisions on Usage Patterns
Authors BAISA, Vít (203 Czech Republic, belonging to the institution), Silvie CINKOVA (203 Czech Republic), Ema KREJČOVÁ (203 Czech Republic) and Anna VERNEROVÁ (203 Czech Republic).
Edition Portorož, Slovenia, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), p. 823-827, 5 pp. 2016.
Publisher European Language Resources Association (ELRA)
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Slovenia
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
WWW URL
RIV identification code RIV/00216224:14330/16:00090124
Organization unit Faculty of Informatics
ISBN 978-2-9517408-9-1
Keywords in English Corpus Creation; Corpus Annotation; Word Sense Disambiguation; Validation of Language Resources
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Mgr. et Mgr. Vít Baisa, Ph.D., učo 139654. Changed: 7/6/2016 16:46.
Abstract
We present VPS-GradeUp - a set of 11,400 graded human decisions on usage patterns of 29 English lexical verbs from the Pattern Dictionary of English Verbs by Patrick Hanks. The annotation contains, for each verb lemma, a batch of 50 concordances with the given lemma as KWIC, and for each of these concordances we provide a graded human decision on how well the individual PDEV patterns for this particular lemma illustrate the given concordance, indicated on a 7-point Likert scale for each PDEV pattern. With our annotation, we were pursuing a pilot investigation of the foundations of human clustering and disambiguation decisions with respect to usage patterns of verbs in context. The data set is publicly available at http://hdl.handle.net/11234/1-1585.
Links
LM2015071, research and development projectName: Jazyková výzkumná infrastruktura v České republice (Acronym: LINDAT-Clarin)
Investor: Ministry of Education, Youth and Sports of the CR
7F14047, research and development projectName: Harvesting big text data for under-resourced languages (Acronym: HaBiT)
Investor: Ministry of Education, Youth and Sports of the CR
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