TAILIEUCHUNG - Báo cáo khoa học: "Association-based Natural Language Processing with Neural Networks"

This paper describes a natural language pro- be improved by enhancing underlying compocessing system reinforced by the use of associ- nent technologies, such as knowledge based ation of words and concepts, implemented as a systems. In particular, alternate approaches neural network. Combining an associative net- to symbolic manipulation provided by connecwork with a conventional system contributes tionist models [Rumelhart 86] have emerged. to semantic disambiguation in the process of Connectionist approaches enable the extracinterpretation. . | Association-based Natural Language Processing with Neural Networks KIMURA Kazuhiro SUZUOKA Takashi AMANO Sin-ya Information Systems Laboratory Research and Development Center TOSHIBA Corp. 1 Komukai-Tôsiba-tyô Saiwai-ku Kawasaki 210 Japan kim@ Abstract This paper describes a natural language processing system reinforced by the use of association of words and concepts implemented as a neural network. Combining tin associative network with a conventional system contributes to semantic disambiguation in the process of interpretation. The model is employed within a kana-kanji conversion system and the advantages over conventional ones are shown. 1 Introduction Currently most practical applications in natural language processing NLP have been realized via symbolic manipulation engines such as grammar parsers. However the current trend and focus of research is shifting to consider aspects of semantics and discourse as part of NLP. This can be seen in the emergence of new theories of language such as Situation Theory Barwise 83 and Discourse Representation Theory Kamp 84 . While these theories provide an excellent theoretical framework for natural language un derstanding the practical treatment of context dependency within the language can also be improved by enhancing underlying component technologies such as knowledge based systems. In particular alternate approaches to symbolic manipulation provided by connec-tionist models Rumelhart 86 have emerged. Connectionist approaches enable the extraction of processing knowledge from examples instead of building knowledge bases manually. The model described here represents the unification of the connectionist approach and conventional symbolic manipulation its most valuable feature is the use of word associations using neural network technology. Word and concept associations appear to be central in human cognition Minsky 88 . Therefore simulating word associations contributes to semantic disambiguation in .

• Báo cáo khoa học
• Association based
• Natural Language Processing
• Neural Networks
• 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
• 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