An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods

Liza, Farhana Ferdousi, Grzes, Marek (2016) An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods. In: The 54th Annual Meeting of the Association for Computational Linguistics. . pp. 55-61. Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA ISBN 978-1-945626-14-2. (KAR id:57326)

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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:	Conference or workshop item (Paper)
Subjects:	Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders:	University of Kent (https://ror.org/00xkeyj56)
Depositing User:	Marek Grzes
Date Deposited:	16 Sep 2016 14:19 UTC
Last Modified:	05 Nov 2024 10:47 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/57326 (The current URI for this page, for reference purposes)

University of Kent Author Information

Liza, Farhana Ferdousi.

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CReDIT Contributor Roles:

Grzes, Marek.

Creator's ORCID:	https://orcid.org/0000-0003-4901-1539
CReDIT Contributor Roles:

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