TY - GEN
T1 - An improved crowdsourcing based evaluation technique for word embedding methods
AU - Liza, Farhana Ferdousi
AU - Grzes, Marek
N1 - Publisher Copyright:
© 2016 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85093124836&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85093124836
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 55
EP - 61
BT - 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
PB - Association for Computational Linguistics (ACL)
T2 - 1st Workshop on Evaluating Vector-Space Representations for NLP, RepEval 2016 at the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
Y2 - 7 August 2016
ER -