Words Worth Attention: Predicting Words of the Week on the Russian Wiktionary / Ustalov Dmitry // . - 2014. - V. 468, l. . - P. 196-207.

ISSN/EISSN:

1865-0929 / нет данных

Type:

Proceedings Paper

Abstract:

Such collaborative lexicography projects as Wiktionary are becoming strong competitors for traditional semantic resources just as Wikipedia has already become for expert-built knowledge bases. Keeping the data obtained from the general public crowd in good quality is a very challenging problem because of the fuzzy nature of the crowdsourcing phenomena. The presented study focuses on predicting the word of the week articles on the Russian Wiktionary by treating this problem as a binary classification task. The best proposed model is based on the Naive Bayes classifier and has weighted average precision, recall, and F-1-measure values of 87\% by evaluating on the provided dataset.

Author keywords:

Russian Wiktionary; semantic resources; word of the week; quality assessment

DOI:

нет данных

Web of Science ID:

ISI:000360086300017

Соавторы в МНС:

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Другие поля

Поле	Значение
Editor	Klinov, P and Mouromtsev, D
Booktitle	KNOWLEDGE ENGINEERING AND THE SEMANTIC WEB, KESW 2014
Series	Communications in Computer and Information Science
Note	5th International Conference on Knowledge Engineering and the Semantic Web (KESW), Kazan, RUSSIA, SEP 29-OCT 01, 2014
Organization	Russian Fdn Basic Res; St Petersburg State Univ Informat Technologies, Mech \& Opt; STI Innsbruck Int
Publisher	SPRINGER-VERLAG BERLIN
Address	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Language	English
ISBN	978-3-319-11715-7
Research-Areas	Computer Science; Robotics
Web-of-Science-Categories	Computer Science, Artificial Intelligence; Computer Science, Information Systems; Robotics
Author-Email	dau@imm.uran.ru
ResearcherID-Numbers	Ustalov, Dmitry/P-6307-2014
ORCID-Numbers	Ustalov, Dmitry/0000-0002-9979-2188
Number-of-Cited-References	13
Usage-Count-Last-180-days	4
Usage-Count-Since-2013	10
Doc-Delivery-Number	BD3QS