Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts

Masashi Yoshikawa, Hiroyuki Shindo, Yuji Matsumoto


Anthology ID:
D16-1109
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:
1036–1041
Language:
URL:
https://aclanthology.org/D16-1109
DOI:
10.18653/v1/D16-1109
Bibkey:
Cite (ACL):
Masashi Yoshikawa, Hiroyuki Shindo, and Yuji Matsumoto. 2016. Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1036–1041, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts (Yoshikawa et al., EMNLP 2016)
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PDF:
https://aclanthology.org/D16-1109.pdf