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An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods

Liza, Farhana Ferdousi 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. Association for Computational Linguistics, Stroudsburg, Pennsylvania, USA, pp. 55-61. ISBN 978-1-945626-14-2.

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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
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Marek Grzes
Date Deposited: 16 Sep 2016 14:19 UTC
Last Modified: 11 Oct 2019 15:21 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/57326 (The current URI for this page, for reference purposes)
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