TAILIEUCHUNG - Báo cáo khoa học: "CONSTRAINT-BASED EVENT RECOGNITION INFORMATION EXTRACTION"

We present a program for segmenting texts according to the separate events they describe. A modular architecture is described that allows us to examine the contributions made by particular aspects of natural language to event structuring. This is applied in the context of terrorist news articles, and a technique is suggested for evaluating the resulting segmentations. We also examine the usefulness of various heuristics in forming these segmentations. | CONSTRAINT-BASED EVENT RECOGNITION FOR INFORMATION EXTRACTION Jeremy Crowe Department of Artificial Intelligence Edinburgh University Edinburgh EH1 1HN UK j .crowe@ Abstract We present a program for segmenting texts according to the separate events they describe. A modular architecture is described that allows us to examine the contributions made by particular aspects of natural language to event structuring. This is applied in the context of terrorist news articles and a technique is suggested for evaluating the resulting segmentations. We also examine the usefulness of various heuristics in forming these segmentations. Introduction One of the issues to emerge from recent evaluations of information extraction systems Sundheim 1992 is the importance of discourse processing Iwaiiska et al. 1991 and in particular the ability to recognise multiple events in a text. It is this task that we address here. We are developing a program that assigns messagelevel event structures to newswire texts. Although the need to recognise events has been widely acknowledged most approaches to information extraction IE perform this task either as a part of template merging late in the IE process Grishman and Sterling 1993 or in a few cases as an integral part of some deeper reasoning mechanism . Hobbs et al. 1991 . Our approach is based on the assumption that discourse processing should be done early in the information extraction process. This is by no means a new idea. The arguments in favour of an early discourse segmentation are well known - easier coreference of entities a reduced volume of text to be subjected to necessarily deeper analysis and so on. Because of this early position in the IE process an event recognition program is faced with a necessarily shallow textual representation. The purpose of our work is therefore to investigate the quality of text segmentation that is possible given such a surface form. T would like to thank Chris Mellish and the anonymous .

• Báo cáo khoa học
• CONSTRAINT BASED EVENT
• RECOGNITION INFORMATION EXTRACTION
• Jeremy Crowe
• 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