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%0 Conference Proceedings
%T Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts
%A Yoshikawa, Masashi
%A Shindo, Hiroyuki
%A Matsumoto, Yuji
%Y Su, Jian
%Y Duh, Kevin
%Y Carreras, Xavier
%S Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
%D 2016
%8 November
%I Association for Computational Linguistics
%C Austin, Texas
%F yoshikawa-etal-2016-joint
%R 10.18653/v1/D16-1109
%U https://aclanthology.org/D16-1109
%U https://doi.org/10.18653/v1/D16-1109
%P 1036-1041

Markdown (Informal)

[Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts](https://aclanthology.org/D16-1109) (Yoshikawa et al., EMNLP 2016)

• Joint Transition-based Dependency Parsing and Disfluency Detection for Automatic Speech Recognition Texts (Yoshikawa et al., EMNLP 2016)

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.