TAILIEUCHUNG - Báo cáo khoa học: "Understanding Unsegmented User Utterances in Real-Time Spoken Dialogue Systems"

This paper proposes a method for incrementally understanding user utterances whose semantic boundaries are not known and responding in real time even before boundaries are determined. It is an integrated parsing and discourse processing method that updates the partial result of understanding word by word, enabling responses based on the partial result. This method incrementally finds plausible sequences of utterances that play crucial roles in the task execution of dialogues, and utilizes beam search to deal with the ambiguity of boundaries as well as syntactic and semantic ambiguities. . | Understanding Unsegmented User utterances in Real-Time Spoken Dialogue Systems Mikio Nakano Noboru Miyazaki Jun-ichi Hirasawa Kohji Dohsaka Takeshi Kawabata NTT Laboratories 3-1 Morinosato-Wakamiya Atsugi 243-0198 Japan nakano@ nmiya@ jun@ dohsaka@ kaw@ Abstract This paper proposes a method for incrementally understanding user utterances whose semantic boundaries are not known and responding in real time even before boundaries are determined. It is an integrated parsing and discourse processing method that updates the partial result of understanding word by word enabling responses based on the partial result. This method incrementally finds plausible sequences of utterances that play crucial roles in the task execution of dialogues and utilizes beam search to deal with the ambiguity of boundaries as well as syntactic and semantic ambiguities. The results of a preliminary experiment demonstrate that this method understands user utterances better than an understanding method that assumes pauses to be semantic boundaries. 1 Introduction Building a real-time interactive spoken dialogue system has long been a dream of researchers and the recent progress in hardware technology and speech and language processing technologies is making this dream a reality. It is still hard however for computers to understand unrestricted human utterances and respond appropriately to them. Considering the current level of speech recognition technology system-initiative dialogue systems which prohibit users from speaking unrestrictedly are preferred Walker et al. 1998 . Nevertheless we are still pursuing techniques for understanding unrestricted user utterances because if the accuracy of understanding can be improved systems that allow users to speak freely could be developed and these would be more useful than systems that do not. Current address NTT Laboratories 1-1 Hikarino-oka Yokosuka 239-0847

• Báo cáo khoa học
• Understanding Unsegmented
• Utterances in Real Time Spoken
• Dialogue Systems
• 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