tailieunhanh - Báo cáo khoa học: "Integration of Large-Scale Linguistic Resources in a Natural Language Understanding System"

Knowledge acquisition is a serious bottleneck for natural language understanding systems. For this reason, large-scale linguistic resources have been compiled and made available by organizations such as the Linguistic Data Consortium (Comlex) and Princeton University (WordNet). Systems making use of these resources can greatly accelerate the development process by avoiding the need for the developer to re-create this information. In this paper we describe how we integrated these large scale linguistic resources into our natural language understanding system. . | Integration of Large-Scale Linguistic Resources in a Natural Language Understanding System Lewis M. Norton Deborah A. Dahl Li Li and Katharine p. Beals Unisys Corporation 2476 Swedesford Road Malvern PA USA 19355 norton dahl lli beals @ Abstract Knowledge acquisition is a serious bottleneck for natural language understanding systems. For this reason large-scale linguistic resources have been compiled and made available by organizations such as the Linguistic Data Consortium Comlex and Princeton University WordNet . Systems making use of these resources can greatly accelerate the development process by avoiding the need for the developer to re-create this information. In this paper we describe how we integrated these large scale linguistic resources into our natural language understanding system. Clientserver architecture was used to make a large volume of lexical information and a large knowledge base available to the system at development and or run time. We discuss issues of achieving compatibility between these disparate resources. 1 NL Engine Natural language processing in the Unisys natural language understanding NLU system Dahl Norton and Scholz 1998 Dahl 1992 is done by a natural language NL engine with the architecture shown in Figure 1. Processing stages include lexical lookup syntactic parsing semantic analysis and pragmatic analysis. Each stage has been designed to use linguistic data such as the lexicon and grammar which are maintained separately from the engine and can easily be adapted to specific applications. 2 Linguistic Servers The template NL Engine on which all NL Engine applications are based contains lexical information for about 3000 English words. This includes information on an exhaustive set of closed-class words prepositions pronouns conjunctions etc. It also includes information for a few hundred of the most frequently-used words in each of the openclass word classes the nouns verbs adjectives and adverbs. An NL Toolkit .

• Báo cáo khoa học
• Integration of Large Scale Linguistic Resources
• Natural Language
• Understanding System
• 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