IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations

Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara, Sadao Kurohashi


Anthology ID:
D16-1049
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
511–520
Language:
URL:
https://aclanthology.org/D16-1049
DOI:
10.18653/v1/D16-1049
Bibkey:
Cite (ACL):
Naoki Otani, Toshiaki Nakazawa, Daisuke Kawahara, and Sadao Kurohashi. 2016. IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 511–520, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
IRT-based Aggregation Model of Crowdsourced Pairwise Comparison for Evaluating Machine Translations (Otani et al., EMNLP 2016)
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https://preview.aclanthology.org/nschneid-patch-5/D16-1049.pdf
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