Improving Imbalanced Dialogue Act Classification Using Cost-Sensitive Learning
Author:
Affiliation:
1. University of the Ryukyus,Graduate School of Engineering and Science,Okinawa,Japan
2. University of the Ryukyus,Faculty of Engineering, School of Engineering,Okinawa,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10001867/10001868/10002072.pdf?arnumber=10002072
Reference10 articles.
1. Prediction of dialogue acts of responses in dialogues using a hierarchical RNN;ohara;Proceedings of the 24th Annual Conference of the Association for Natural Language Processing,2018
2. Dialogue act modeling in a complex task-oriented domain;boyer;Proceedings of the SIGDIAL 2010 Conference,2010
3. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
4. Dialogue-actdriven conversation model: An experimental study;kumar;Proceedings of the 27th International Conference on Computational Linguistics,2018
5. Coherence Models for Dialogue
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