Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection-Reference-Cited by-同舟云学术

Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection

Published:2017-11-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on Conference on Information and Knowledge Management
language:
Short-container-title:

Author:

Meng Zhao¹,Mou Lili²,Jin Zhi¹

Affiliation:

1. Peking University, Beijing, China

2. University of Waterloo, Waterloo, ON, Canada

Funder

National Basic Research Program of China (the 973 Program)

National Natural Science Foundation of China under Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3132847.3133110

Reference19 articles.

1. D. Bahdanau K. Cho and Y. Bengio. 2015. Neural machine translation by jointly learning to align and translate ICLR. D. Bahdanau K. Cho and Y. Bengio. 2015. Neural machine translation by jointly learning to align and translate ICLR.

2. S. Bowman G. Angeli C. Potts and C. Manning. 2015. A large annotated corpus for learning natural language inference EMNLP. 632--642. S. Bowman G. Angeli C. Potts and C. Manning. 2015. A large annotated corpus for learning natural language inference EMNLP. 632--642.

3. Y. Chen M. Sun A. I Rudnicky and A. Gershman. 2016. Unsupervised user intent modeling by feature-enriched matrix factorization ICASSP. 6150--6154. Y. Chen M. Sun A. I Rudnicky and A. Gershman. 2016. Unsupervised user intent modeling by feature-enriched matrix factorization ICASSP. 6150--6154.

4. T. Kemp M. Schmidt M. Westphal and A. Waibel. 2000. Strategies for automatic segmentation of audio data ICASSP. 1423--1426. T. Kemp M. Schmidt M. Westphal and A. Waibel. 2000. Strategies for automatic segmentation of audio data ICASSP. 1423--1426.

5. J. Li M. Galley C. Brockett J. Gao and B. Dolan. 2016. A diversity-promoting objective function for neural conversation models NAACL. 110--119. J. Li M. Galley C. Brockett J. Gao and B. Dolan. 2016. A diversity-promoting objective function for neural conversation models NAACL. 110--119.

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