Improving Contextual Language Models for Response Retrieval in Multi-Turn Conversation
Author:
Affiliation:
1. University of Electronic Science and Technology of China, Chengdu, China
2. Harbin Institute of Technology, Peng Cheng Lab, & University of Electronic Science and Technology of China, Chengdu, China
Funder
National Key Research and Development Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3397271.3401255
Reference18 articles.
1. Jia Li Chongyang Tao Wei Wu Yansong Feng Dongyan Zhao and Rui Yan. 2019. Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. In EMNLP-IJCNLP'19. 1291--1296. Jia Li Chongyang Tao Wei Wu Yansong Feng Dongyan Zhao and Rui Yan. 2019. Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. In EMNLP-IJCNLP'19. 1291--1296.
2. Machine Reading Comprehension
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