TAILIEUCHUNG - Báo cáo khoa học: "Role of Verbs in Document Analysis"

We present results of two methods for assessing the event profile of news articles as a function of verb type. The unique contribution of this research is the focus on the role of verbs, rather than nouns. Two algorithms are presented and evaluated, one of which is shown to accurately discriminate documents by type and semantic properties, . the event profile. The initial method, using WordNet (Miller et al. 1990), produced multiple cross-classification of articles, primarily due to the bushy nature of the verb tree coupled with the sense disambiguation problem. . | Role of Verbs in Document Analysis Judith Klavans and Min-Yen Kan Center for Research on Information Access and Department of Computer Science Columbia University- New York NY 10027 USA Abstract We present results of two methods for assessing the event profile of news articles as a function of verb type. The unique contribution of this research is the focus on the role of verbs rather than nouns. Two algorithms are presented and evaluated one of which is shown to accurately discriminate documents by type and semantic properties . the event profile. The initial method using WordNet Miller et al. 1990 produced multiple cross-classification of articles primarily due to the bushy nature of the verb tree coupled with the sense disambiguation problem. Our second approach using English Verb Classes and Alternations EVCA Levin 1993 showed that monosemous categorization of the frequent verbs in ws J made it possible to usefully discriminate documents. For example our results show that articles in which communication verbs predominate tend to be opinion pieces whereas articles with a high percentage of agreement verbs tend to be about mergers or legal cases. An evaluation is performed on the results using Kendall s T. We present convincing evidence for using verb semantic classes as a discriminant in document 1 Motivation We present techniques to characterize document type and event by using semantic classification of verbs. The intuition motivating our research is illustrated by an examination of the role of 1The authors acknowledge earlier implementations by James Shaw and very valuable discussion from Vasileios Hatzivassiloglou Kathleen McKeown and Nina Wa-cholder. Partial funding for this project was provided by NSF award IRI-9618797 STIMULATE Generating Coherent Summaries of On-Line Documents Combining Statistical and Symbolic Techniques co-PI s McKeown and Klavans and by the Columbia University Center for Research on Information Access. nouns and .

• Báo cáo khoa học
• Role of Verbs
• Document Analysis
• Long Papers
• báo cáo khoa học
• mô hình ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Generalizing Semantic
• Role Annotations Across
• Syntactically Similar Verbs
• 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