CINKOVA, Silvie, Ema KREJČOVÁ, Anna VERNEROVÁ and Vít BAISA. Graded and Word-Sense-Disambiguation Decisions in Corpus Pattern Analysis: a Pilot Study. 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). p. 848-854. ISBN 978-2-9517408-9-1. 2016.
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Basic information
Original name Graded and Word-Sense-Disambiguation Decisions in Corpus Pattern Analysis: a Pilot Study
Authors CINKOVA, Silvie (203 Czech Republic), Ema KREJČOVÁ (203 Czech Republic), Anna VERNEROVÁ (203 Czech Republic) and Vít BAISA (203 Czech Republic, belonging to the institution).
Edition Portorož, Slovenia, Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), p. 848-854, 7 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
RIV identification code RIV/00216224:14330/16:00090038
Organization unit Faculty of Informatics
ISBN 978-2-9517408-9-1
Keywords in English CPA; graded decisions; English; verbs; usage patterns; annotation; Likert scales
Tags firank_B
Tags International impact, Reviewed
Changed by Changed by: Mgr. et Mgr. Vít Baisa, Ph.D., učo 139654. Changed: 27/5/2016 13:35.
Abstract
We present a pilot analysis of a new linguistic resource, VPS-GradeUp (available at http://hdl.handle.net/11234/1-1585 ). The resource contains 11,400 graded human decisions on usage patterns of 29 English lexical verbs, randomly selected from the Pattern Dictionary of English Verbs (Hanks, 2000 2014). The selection was random and based on their frequency and the number of senses their lemmas have in PDEV. This data set has been created to observe the interannotator agreement on PDEV patterns produced using the Corpus Pattern Analysis (Hanks, 2013). Apart from the graded decisions, the data set also contains traditional Word-Sense-Disambiguation (WSD) labels. We analyze the associations between the graded annotation and WSD annotation. The results of the respective annotations do not correlate with the size of the usage pattern inventory for the respective verbs lemmas, which makes the data set worth further linguistic analysis.
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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