TY - GEN
T1 - Issues in evaluating semantic spaces using word analogies
AU - Linzen, Tal
N1 - Publisher Copyright:
© 2016 Proceedings of the Annual Meeting of the Association for Computational Linguistics. All Rights Reserved.
PY - 2016
Y1 - 2016
N2 - The offset method for solving word analogies has become a standard evaluation tool for vector-space semantic models: It is considered desirable for a space to represent semantic relations as consistent vector offsets. We show that the method's reliance on cosine similarity conflates offset consistency with largely irrelevant neighborhood structure, and propose simple baselines that should be used to improve the utility of the method in vector space evaluation.
AB - The offset method for solving word analogies has become a standard evaluation tool for vector-space semantic models: It is considered desirable for a space to represent semantic relations as consistent vector offsets. We show that the method's reliance on cosine similarity conflates offset consistency with largely irrelevant neighborhood structure, and propose simple baselines that should be used to improve the utility of the method in vector space evaluation.
UR - http://www.scopus.com/inward/record.url?scp=85073167942&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073167942&partnerID=8YFLogxK
U2 - 10.18653/v1/w16-2503
DO - 10.18653/v1/w16-2503
M3 - Conference contribution
AN - SCOPUS:85073167942
T3 - Proceedings of the Annual Meeting of the Association for Computational Linguistics
SP - 13
EP - 18
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 -