What Do Graded Decisions Tell Us about Verb Uses

D 2016

What Do Graded Decisions Tell Us about Verb Uses

CINKOVÁ, Silvie, Ema KREJČOVÁ, Anna VERNEROVÁ and Vít BAISA

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

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

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

Abstract

V originále

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 project

Name: Jazyková výzkumná infrastruktura v České republice (Acronym: LINDAT-Clarin)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

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.

@inproceedings{1352902,
   author = {Cinková, Silvie and Krejčová, Ema and Vernerová, Anna and Baisa, Vít},
   address = {Tbilisi},
   booktitle = {Proceedings of the XVII EURALEX International congress},
   editor = {Tinatin Margalitadze, George Meladze},
   keywords = {Word Sense Disambiguation; usage patterns; computational lexicography; graded decisions; Likert scales; Corpus Pattern Analysis; Pattern Dictionary of English Verbs; regular polysemy; coercion},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Tbilisi},
   isbn = {978-9941-13-542-2},
   pages = {310-320},
   publisher = {Ivane Javakhishvili Tbilisi State University},
   title = {What Do Graded Decisions Tell Us about Verb Uses},
   year = {2016}
}

TY  - JOUR
ID  - 1352902
AU  - Cinková, Silvie - Krejčová, Ema - Vernerová, Anna - Baisa, Vít
PY  - 2016
TI  - What Do Graded Decisions Tell Us about Verb Uses
PB  - Ivane Javakhishvili Tbilisi State University
CY  - Tbilisi
SN  - 9789941135422
KW  - Word Sense Disambiguation
KW  - usage patterns
KW  - computational lexicography
KW  - graded decisions
KW  - Likert scales
KW  - Corpus Pattern Analysis
KW  - Pattern Dictionary of English Verbs
KW  - regular polysemy
KW  - coercion
N2  - 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.
ER  -

CINKOVÁ, Silvie, Ema KREJČOVÁ, Anna VERNEROVÁ and Vít BAISA. What Do Graded Decisions Tell Us about Verb Uses. Online. In Tinatin Margalitadze, George Meladze. \textit{Proceedings of the XVII EURALEX International congress}. Tbilisi: Ivane Javakhishvili Tbilisi State University, 2016, p.~310-320. ISBN~978-9941-13-542-2.

Detailed Information on Publication Record