TAILIEUCHUNG - Báo cáo khoa học: "Summarizing Emails with Conversational Cohesion and Subjectivity"

In this paper, we study the problem of summarizing email conversations. We first build a sentence quotation graph that captures the conversation structure among emails. We adopt three cohesion measures: clue words, semantic similarity and cosine similarity as the weight of the edges. Second, we use two graph-based summarization approaches, Generalized ClueWordSummarizer and PageRank, to extract sentences as summaries. | Summarizing Emails with Conversational Cohesion and Subjectivity Giuseppe Carenini Raymond T. Ng and Xiaodong Zhou Department of Computer Science University of British Columbia Vancouver BC Canada carenini rng xdzhou @ Abstract In this paper we study the problem of summarizing email conversations. We first build a sentence quotation graph that captures the conversation structure among emails. We adopt three cohesion measures clue words semantic similarity and cosine similarity as the weight of the edges. Second we use two graph-based summarization approaches Generalized ClueWordSummarizer and Page-Rank to extract sentences as summaries. Third we propose a summarization approach based on subjective opinions and integrate it with the graph-based ones. The empirical evaluation shows that the basic clue words have the highest accuracy among the three cohesion measures. Moreover subjective words can significantly improve accuracy. 1 Introduction With the ever increasing popularity of emails it is very common nowadays that people discuss specific issues events or tasks among a group of people by emails Fisher and Moody 2002 . Those discussions can be viewed as conversations via emails and are valuable for the user as a personal information repository Ducheneaut and Bellotti 2001 . In this paper we study the problem of summarizing email conversations. Solutions to this problem can help users access the information embedded in emails more effectively. For instance 10 minutes before a meeting a user may want to quickly go through a previous discussion via emails that is going to be discussed soon. In that case rather than reading each individual email one by one it would be preferable to read a concise summary of the previous discussion with the major information summarized. Email summarization is also helpful for mobile email users on a small screen. Summarizing email conversations is challenging due to the characteristics of emails especially the conversational .

• Báo cáo khoa học
• Summarizing Emails
• Conversational Cohesion and Subjectivity
• Giuseppe Carenini
• báo cáo khoa học
• báo cáo 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 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