TAILIEUCHUNG - Báo cáo khoa học: "Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs"

This investigation proposes an approach to modeling the discourse of spoken dialogue using semantic dependency graphs. By characterizing the discourse as a sequence of speech acts, discourse modeling becomes the identification of the speech act sequence. A statistical approach is adopted to model the relations between words in the user’s utterance using the semantic dependency graphs. | Stochastic Discourse Modeling in Spoken Dialogue Systems Using Semantic Dependency Graphs Jui-Feng Yeh Chung-Hsien Wu and Mao-Zhu Yang Department of Computer Science and Information Engineering National Cheng Kung University No. 1 Ta-Hsueh Road Tainan Taiwan . jfyeh chwu mzyang @ Abstract This investigation proposes an approach to modeling the discourse of spoken dialogue using semantic dependency graphs. By characterizing the discourse as a sequence of speech acts discourse modeling becomes the identification of the speech act sequence. A statistical approach is adopted to model the relations between words in the user s utterance using the semantic dependency graphs. Dependency relation between the headword and other words in a sentence is detected using the semantic dependency grammar. In order to evaluate the proposed method a dialogue system for medical service is developed. Experimental results show that the rates for speech act detection and taskcompletion are and respectively and the average number of turns of each dialogue is . Compared with the Bayes classifier and the PartialPattern Tree based approaches we obtain and improvements in accuracy for speech act identification respectively. 1 Introduction It is a very tremendous vision of the computer technology to communicate with the machine using spoken language Huang et al. 2001 Allen at al. 2001 . Understanding of spontaneous language is arguably the core technology of the spoken dialogue systems since the more accurate information obtained by the machine Higashinaka et al. 2004 the more possibility to finish the dialogue task. Practical use of speech act theories in spoken language processing Stolcke et al. 2000 Walker and Passonneau 2001 Wu et al. 2004 have given both insight and deeper understanding of verbal communication. Therefore when considering the whole discourse the relationship between the speech acts of the dialogue turns becomes extremely .

• Báo cáo khoa học
• Stochastic Discourse Modeling
• Spoken Dialogue Systems
• Semantic Dependency Graphs
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học