An improved crowdsourcing based evaluation technique for word embedding methods

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Liza, Farhana Ferdousi ORCID: https://orcid.org/0000-0003-4854-5619 and Grzes, Marek (2016) An improved crowdsourcing based evaluation technique for word embedding methods. In: Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, RepEval 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016. Proceedings of the Annual Meeting of the Association for Computational Linguistics . Association for Computational Linguistics (ACL), DEU, pp. 55-61. ISBN 9781945626142

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Abstract

In this proposal track paper, we have presented a crowdsourcing-based word embedding evaluation technique that will be more reliable and linguistically justified. The method is designed for intrinsic evaluation and extends the approach proposed in (Schnabel et al., 2015). Our improved evaluation technique captures word relatedness based on the word context.

Item Type: Book Section
Additional Information: Publisher Copyright: © 2016 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.
Uncontrolled Keywords: computer science applications,linguistics and language,language and linguistics ,/dk/atira/pure/subjectarea/asjc/1700/1706
Faculty \ School: Faculty of Science > School of Computing Sciences
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Depositing User: LivePure Connector
Date Deposited: 26 Sep 2024 16:30
Last Modified: 29 Sep 2024 06:30
URI: https://ueaeprints.uea.ac.uk/id/eprint/96821
DOI:

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