TAILIEUCHUNG - Báo cáo khoa học: "Automatic Creation of Domain Templates"

Recently, many Natural Language Processing (NLP) applications have improved the quality of their output by using various machine learning techniques to mine Information Extraction (IE) patterns for capturing information from the input text. Currently, to mine IE patterns one should know in advance the type of the information that should be captured by these patterns. In this work we propose a novel methodology for corpus analysis based on cross-examination of several document collections representing different instances of the same domain. We show that this methodology can be used for automatic domain template creation. . | Automatic Creation of Domain Templates Elena Filatova Vasileios Hatzivassiloglou and Kathleen McKeown Department of Computer Science Department of Computer Science Columbia University The University of Texas at Dallas filatova kathy @ vh@ Abstract Recently many Natural Language Processing NLP applications have improved the quality of their output by using various machine learning techniques to mine Information Extraction IE patterns for capturing information from the input text. Currently to mine IE patterns one should know in advance the type of the information that should be captured by these patterns. In this work we propose a novel methodology for corpus analysis based on cross-examination of several document collections representing different instances of the same domain. We show that this methodology can be used for automatic domain template creation. As the problem of automatic domain template creation is rather new there is no well-defined procedure for the evaluation of the domain template quality. Thus we propose a methodology for identifying what information should be present in the template. Using this information we evaluate the automatically created domain templates through the text snippets retrieved according to the created templates. 1 Introduction Open-ended question-answering QA systems typically produce a response containing a variety of specific facts proscribed by the question type. A biography for example might contain the date of birth occupation or nationality of the person in question Duboue and McKeown 2003 Zhou et al. 2004 Weischedel et al. 2004 Filatova and Prager 2005 . A definition may contain the genus of the term and characteristic attributes Blair-Goldensohn et al. 2004 . A response to a question about a terrorist attack might include the event victims perpetrator and date as the templates designed for the Message Understanding Conferences Radev and McKeown 1998 White et al. 2001 predicted. .

• Báo cáo khoa học
• Automatic Creation
• Domain Templates
• Elena Filatova
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• A TOOL FOR THE AUTOMATIC CREATION
• EXTENSION OF LEXICAL KNOWLEDGE
• Long Papers
• scientific reports
• model language
• process natural language
• Semi automatic creation
• Exploitation of competence ontologies
• Matching and planning
• Competence management
• Decision support system
• 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