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        <title>Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources</title>
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        <namePart type="given">Yuri</namePart>
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            <title>Proceedings of the 8th Global WordNet Conference (GWC)</title>
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            <namePart type="given">Christiane</namePart>
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    <abstract>Collaboratively created lexical resources is a trending approach to creating high quality thesauri in a short time span at a remarkably low price. The key idea is to invite non-expert participants to express and share their knowledge with the aim of constructing a resource. However, this approach tends to be noisy and error-prone, thus making data cleansing a highly topical task to perform. In this paper, we study different techniques for synset deduplication including machine- and crowd-based ones. Eventually, we put forward an approach that can solve the deduplication problem fully automatically, with the quality comparable to the expert-based approach.</abstract>
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        <date>2016-27–30 jan</date>
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%0 Conference Proceedings
%T Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources
%A Kiselev, Yuri
%A Ustalov, Dmitry
%A Porshnev, Sergey
%Y Fellbaum, Christiane
%Y Vossen, Piek
%Y Mititelu, Verginica Barbu
%Y Forascu, Corina
%S Proceedings of the 8th Global WordNet Conference (GWC)
%D 2016
%8 27–30 jan
%I Global Wordnet Association
%C Bucharest, Romania
%F kiselev-etal-2016-eliminating
%X Collaboratively created lexical resources is a trending approach to creating high quality thesauri in a short time span at a remarkably low price. The key idea is to invite non-expert participants to express and share their knowledge with the aim of constructing a resource. However, this approach tends to be noisy and error-prone, thus making data cleansing a highly topical task to perform. In this paper, we study different techniques for synset deduplication including machine- and crowd-based ones. Eventually, we put forward an approach that can solve the deduplication problem fully automatically, with the quality comparable to the expert-based approach.
%U https://aclanthology.org/2016.gwc-1.25
%P 162-168

Markdown (Informal)

[Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources](https://aclanthology.org/2016.gwc-1.25) (Kiselev et al., GWC 2016)

• Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources (Kiselev et al., GWC 2016)

ACL

• Yuri Kiselev, Dmitry Ustalov, and Sergey Porshnev. 2016. Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources. In Proceedings of the 8th Global WordNet Conference (GWC), pages 162–168, Bucharest, Romania. Global Wordnet Association.