Dialog state tracking for interview coaching using two-level LSTM

Ming Hsiang Su, Chung Hsien Wu, Kun Yi Huang, Tsung Hsien Yang, Tsui Ching Huang

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

This study presents an approach to dialog state tracking (DST) in an interview conversation by using the long short-term memory (LSTM) and artificial neural network (ANN). First, the techniques of word embedding are employed for word representation by using the word2vec model. Then, each input sentence is represented by a sentence hidden vector using the LSTM-based sentence model. The sentence hidden vectors for each sentence are fed to the LSTM-based answer model to map the interviewee's answer to an answer hidden vector. For dialog state detection, the answer hidden vector is finally used to detect the dialog state using an ANN-based dialog state detection model. To evaluate the proposed method, an interview conversation system was constructed, and an average accuracy of 89.93% was obtained for dialog state detection.

原文English
主出版物標題Proceedings of 2016 10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016
編輯Hsin-Min Wang, Qingzhi Hou, Yuan Wei, Tan Lee, Jianguo Wei, Lei Xie, Hui Feng, Jianwu Dang, Jianwu Dang
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781509042937
DOIs
出版狀態Published - 2017 5月 2
事件10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016 - Tianjin, China
持續時間: 2016 10月 172016 10月 20

出版系列

名字Proceedings of 2016 10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016

Other

Other10th International Symposium on Chinese Spoken Language Processing, ISCSLP 2016
國家/地區China
城市Tianjin
期間16-10-1716-10-20

All Science Journal Classification (ASJC) codes

  • 訊號處理
  • 電腦視覺和模式識別
  • 語言和語言學

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