教師資料查詢 | 類別: 會議論文 | 教師: 戴敏育 Min-Yuh Day (瀏覽個人網頁)

標題:IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task
學年107
學期2
發表日期2019/06/10
作品名稱IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task
作品名稱(其他語言)
著者Min-Yuh Day; Chi-Sheng Hung; Yi-Jun Xie; Jhih-Yi Chen; Yu-Ling Kuo; Jian-Ting Lin
作品所屬單位
出版者
會議名稱The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14)
會議地點Tokyo, Japan
摘要This paper describes the IMTKU (Information Management at Tamkang University) emotional dialogue system for Short Text Conversation at NTCIR-14 STC-3 Chinese Emotional Conversation Generation (CECG) Subtask. The IMTKU team proposed an emotional dialogue system that integrates retrieval-based model, generative-based model, and emotion classification model with deep learning approach for short text conversation focusing on Chinese emotional conversation generation subtask at NTCIR-14 STC-3 task. For the retrieval-based method, the Apache Solr search engine was used to retrieve the responses to a given post and obtain the most similar one by each emotion with a word2vec similarity ranking model. For the generative-based method, we adopted a sequence-to-sequence model for generating responses with emotion classifier to label the emotion of each response to a given post and obtain the most similar one by each emotion with a word2vec similarity ranking model. The official results show that the aver-age score of IMTKU is 0.592 for the retrieval-based model and 0.06 for the generative-based model. The IMTKU self-evaluation indicates that the average score is 1.183 for retrieval-based model and 0.1the 6 for the generative-based model. The best accuracy score of the emotion classification model of IMTKU is 87.6% with bi-directional long short-term memory (Bi-LSTM).
關鍵字artificial intelligence;deep learning;dialogue systems;encoder-decoder;sequence-to-sequence;recurrent neural network;long short-term memory
語言中文
收錄於
會議性質國際
校內研討會地點
研討會時間20190610~20190613
通訊作者
國別中華民國
公開徵稿
出版型式
出處Proceedings of The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14)
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