Length bias in Encoder Decoder Models and a Case for Global Conditioning

Pavel Sountsov, Sunita Sarawagi


Anthology ID:
D16-1158
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1516–1525
Language:
URL:
https://aclanthology.org/D16-1158
DOI:
10.18653/v1/D16-1158
Bibkey:
Cite (ACL):
Pavel Sountsov and Sunita Sarawagi. 2016. Length bias in Encoder Decoder Models and a Case for Global Conditioning. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1516–1525, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Length bias in Encoder Decoder Models and a Case for Global Conditioning (Sountsov & Sarawagi, EMNLP 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/D16-1158.pdf
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