TAILIEUCHUNG - Báo cáo khoa học: "Towards an Optimal Lexicalization in a Natural-Sounding Portable Natural Language Generator for Dialog Systems"

In contrast to the latest progress in speech recognition, the state-of-the-art in natural language generation for spoken language dialog systems is lagging behind. The core dialog managers are now more sophisticated; and natural-sounding and flexible output is expected, but not achieved with current simple techniques such as template-based systems. Portability of systems across subject domains and languages is another increasingly important requirement in dialog systems. This paper presents an outline of LEGEND, a system that is both portable and generates natural-sounding output. . | Towards an Optimal Lexicalization in a Natural-Sounding Portable Natural Language Generator for Dialog Systems Inge M. R. De Bleecker Department of Linguistics The University of Texas at Austin Austin Tx 78712 USA imrdb@ Abstract In contrast to the latest progress in speech recognition the state-of-the-art in natural language generation for spoken language dialog systems is lagging behind. The core dialog managers are now more sophisticated and natural-sounding and flexible output is expected but not achieved with current simple techniques such as template-based systems. Portability of systems across subject domains and languages is another increasingly important requirement in dialog systems. This paper presents an outline of LEGEND a system that is both portable and generates natural-sounding output. This goal is achieved through the novel use of existing lexical resources such as FrameNet and WordNet. 1 Introduction Most of the natural language generation NLG components in current dialog systems are implemented through the use of simple techniques such as a library of hand-crafted and pre-recorded utterances or a template-based system where the templates contain slots in which different values can be inserted. These techniques are unmanageable if the dialog system aims to provide variable naturalsounding output because the number of prerecorded strings or different templates becomes very large Theune 2003 . These techniques also make it difficult to port the system into another subject domain or language. In order to be widely successful natural language generation components of future dialog systems need to provide natural-sounding output while being relatively easy to port. This can be achieved by developing more sophisticated techniques based on concepts from deep linguistically-based NLG and text generation and through the use of existing resources that facilitate both the natural-sounding and the portability requirement. We might wonder what

• Báo cáo khoa học
• Towards an Optimal Lexicalization
• Natural Sounding Portable Natural Language Generator
• Dialog 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