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        <title>Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning</title>
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        <namePart type="given">Ta-Chung</namePart>
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    <abstract>Language understanding (LU) and dialogue policy learning are two essential components in conversational systems. Human-human dialogues are not well-controlled and often random and unpredictable due to their own goals and speaking habits. This paper proposes a role-based contextual model to consider different speaker roles independently based on the various speaking patterns in the multi-turn dialogues. The experiments on the benchmark dataset show that the proposed role-based model successfully learns role-specific behavioral patterns for contextual encoding and then significantly improves language understanding and dialogue policy learning tasks.</abstract>
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%0 Conference Proceedings
%T Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning
%A Chi, Ta-Chung
%A Chen, Po-Chun
%A Su, Shang-Yu
%A Chen, Yun-Nung
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F chi-etal-2017-speaker
%X Language understanding (LU) and dialogue policy learning are two essential components in conversational systems. Human-human dialogues are not well-controlled and often random and unpredictable due to their own goals and speaking habits. This paper proposes a role-based contextual model to consider different speaker roles independently based on the various speaking patterns in the multi-turn dialogues. The experiments on the benchmark dataset show that the proposed role-based model successfully learns role-specific behavioral patterns for contextual encoding and then significantly improves language understanding and dialogue policy learning tasks.
%U https://aclanthology.org/I17-2028
%P 163-168

Markdown (Informal)

[Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning](https://aclanthology.org/I17-2028) (Chi et al., IJCNLP 2017)

• Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning (Chi et al., IJCNLP 2017)

ACL

• Ta-Chung Chi, Po-Chun Chen, Shang-Yu Su, and Yun-Nung Chen. 2017. Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 163–168, Taipei, Taiwan. Asian Federation of Natural Language Processing.