CINKOVÁ, Silvie, Ema KREJČOVÁ, Anna VERNEROVÁ and Vít BAISA. What Do Graded Decisions Tell Us about Verb Uses. Online. In Tinatin Margalitadze, George Meladze. Proceedings of the XVII EURALEX International congress. Tbilisi: Ivane Javakhishvili Tbilisi State University, 2016, p. 310-320. ISBN 978-9941-13-542-2.
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Basic information
Original name What Do Graded Decisions Tell Us about Verb Uses
Authors CINKOVÁ, Silvie (203 Czech Republic, guarantor), Ema KREJČOVÁ (203 Czech Republic), Anna VERNEROVÁ (203 Czech Republic) and Vít BAISA (203 Czech Republic, belonging to the institution).
Edition Tbilisi, Proceedings of the XVII EURALEX International congress, p. 310-320, 11 pp. 2016.
Publisher Ivane Javakhishvili Tbilisi State University
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form electronic version available online
RIV identification code RIV/00216224:14330/16:00090691
Organization unit Faculty of Informatics
ISBN 978-9941-13-542-2
UT WoS 000392695200032
Keywords in English Word Sense Disambiguation; usage patterns; computational lexicography; graded decisions; Likert scales; Corpus Pattern Analysis; Pattern Dictionary of English Verbs; regular polysemy; coercion
Tags International impact, Reviewed
Changed by Changed by: Mgr. Michal Petr, učo 65024. Changed: 20/7/2018 14:39.
Abstract
We work with 1450 concordances of 29 English verbs (50 concordances per lemma) and their corresponding entries in the Pattern Dictionary of English Verbs (PDEV). Three human annotators working independently but in parallel judged how well each lexical unit of the corresponding PDEV entry illustrates the given concordance. Thereafter they selected one best-fitting lexical unit for each concordance – while the former setup allowed for ties (equally good matches), the latter did not. We measure the interannotator agreement/correlation in both setups and show that our results are not worse (in fact, slightly better) than in an already published graded-decision annotation performed on a traditional dictionary. We also manually examine the cases where several PDEV lexical units were classified as good matches and how this fact affected the interannotator agreement in the best- fit setup. The main causes of overlap between lexical units include semantic coercion and regular polysemy, as well as occasionally insufficient abstraction from regular syntactic alternations, and eventually also arguments defined as optional and scattered across different lexical units despite not being mutually exclusive.
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
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