TAILIEUCHUNG - Báo cáo khoa học: "In-Browser Summarisation: Generating Elaborative Summaries Biased Towards the Reading Context"

We investigate elaborative summarisation, where the aim is to identify supplementary information that expands upon a key fact. We envisage such summaries being useful when browsing certain kinds of (hyper-)linked document sets, such as Wikipedia articles or repositories of publications linked by citations. For these collections, an elaborative summary is intended to provide additional information on the linking anchor text. Our contribution in this paper focuses on identifying and exploring a real task in which summarisation is situated, realised as an In-Browser tool. . | In-Browser Summarisation Generating Elaborative Summaries Biased Towards the Reading Context Stephen Wan and Cecile Paris ICT Centre CSIRO Locked Bag 17 North Ryde Sydney NSW 1670 Australia Abstract We investigate elaborative summarisation where the aim is to identify supplementary information that expands upon a key fact. We envisage such summaries being useful when browsing certain kinds of hyper- linked document sets such as Wikipedia articles or repositories of publications linked by citations. For these collections an elaborative summary is intended to provide additional information on the linking anchor text. Our contribution in this paper focuses on identifying and exploring a real task in which summarisation is situated realised as an In-Browser tool. We also introduce a neighbourhood scoring heuristic as a means of scoring matches to relevant passages of the document. In a preliminary evaluation using this method our summarisation system scores above our baselines and achieves a recall of 57 annotated gold standard sentences. 1 Introduction It has long been held that a summary is useful particularly if it supports the underlying task of the user for an overview of summarisation scenarios see Spark Jones 1998 . For example generic that is not query-specific summaries which are often indicative providing just the gist of a document are only useful if they happen to address the underlying need of the user. In a push to make summaries more responsive to user needs the field of summarisation has explored the overlap with complex question-answering Information and Communication Technologies Centre research to produce query-focused summaries. Such work includes the recent DUC challenges on query-focused summarisation 1 in which the user needs are represented by short paragraphs of text written by human judges. These are then used as input to the summarisation process. However modelling user needs is a difficult task. DUC descriptions .

• Báo cáo khoa học
• In Browser Summarisation
• Generating Elaborative Summaries Biased
• Towards the Reading Context
• 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