Not All Contexts Are Created Equal: Better Word Representations with Variable Attention

Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramón Fermandez, Chris Dyer, Alan W Black, Isabel Trancoso, Chu-Cheng Lin


Anthology ID:
D15-1161
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1367–1372
Language:
URL:
https://aclanthology.org/D15-1161
DOI:
10.18653/v1/D15-1161
Bibkey:
Cite (ACL):
Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramón Fermandez, Chris Dyer, Alan W Black, Isabel Trancoso, and Chu-Cheng Lin. 2015. Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1367–1372, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention (Ling et al., EMNLP 2015)
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PDF:
https://aclanthology.org/D15-1161.pdf