Add-Remove-Confirm: Crowdsourcing Synset Cleansing / Ustalov Dmitry,Kiselev Yuri // . - 2015. - V. , l. . - P. 143-147.

ISSN/EISSN:

нет данных / нет данных

Type:

Proceedings Paper

Abstract:

Thesaurus is a crucial resource for many natural language processing and artificial intelligence problems, which require common sense reasoning. It is becoming highly topical to put special effort to ensure the high quality of synsets when a thesaurus is created collaboratively by non-expert annotators. This paper proposes Add-Remove-Confirm, a novel workflow for crowdsourcing synset cleansing. The present workflow has been empirically evaluated using a Russian thesaurus created through crowdsourcing showing that it does improve the synset quality as according to the expert assessment with high level of agreement.

Author keywords:

natural language processing; lexical resource; crowdsourcing; collaborative lexicography; mechanized labor; data cleansing; thesaurus

DOI:

нет данных

Web of Science ID:

ISI:000380404000031

Соавторы в МНС:

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Другие поля

Поле	Значение
Book-Group-Author	IEEE
Booktitle	2015 9TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT)
Note	9th International Conference of INFORMATIOM and COMMUNICATION TECHNOLOGIES (AICT), Rostov-on-Don, RUSSIA, OCT 14-16, 2015
Organization	SO FEDERAL UNIV; QAFQAZ UNIV; IEEE; IEEE ADV TECHNOLOGY HUMANITY; SO FEDERAL UNIV
Publisher	IEEE
Address	345 E 47TH ST, NEW YORK, NY 10017 USA
Language	English
ISBN	978-1-4673-6855-1
Research-Areas	Computer Science; Engineering
Web-of-Science-Categories	Computer Science, Information Systems; Engineering, Electrical \& Electronic
Author-Email	d.a.ustalov@ieee.org ykiselev.loky@gmail.com
ResearcherID-Numbers	Ustalov, Dmitry/P-6307-2014
ORCID-Numbers	Ustalov, Dmitry/0000-0002-9979-2188
Number-of-Cited-References	15
Usage-Count-Last-180-days	4
Usage-Count-Since-2013	4
Doc-Delivery-Number	BF1KC