Number of found records: 80
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BALDWIN, Breck; DONAWAY, Robert; HOVY, Eduard; [et al.] |
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An Evaluation Road Map for Summarization Research |
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On line ( 15/06/2004) |
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Recent discussions within the context of TIDES have indicated the need to develop a coordinated approach to text summarization research. This document presents the response given by the summarization research community to the challenge of fleshing out a roadmap for an ambitious plan that will foster measurable progress in the field. The document focuses on the evaluation of text summarization systems (AU) |
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text summarization; evaluation |
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BRUNN, Meru; CHALI, Yllias; PINCHAK, Christopher J. |
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Text Summarization Using Lexical Chains. |
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In Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, LA, 2001. |
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Text summarization addresses both the problem of selecting the most important portions of text and the problem of generating coherent summaries. We present in this paper the summarizer of the University of Lethbridge at DUC 2001, which is based on an efficient use of lexical chains. (AU) |
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segmentation; extractor; sumarization |
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DELORT, J.Y.; BOUCHON-MEUNIER, B.; RIFQI, M. |
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Enhanced web document summarization using hyperlinks. |
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In Proceedings of the 14th ACM conference on Hypertext and Hypermedia, pp.208-215. ACM Press, 2003. |
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This paper addresses the issue of Web document summarization. As textual content of Web documents is often scarce or irrelevant and existing summarization techniques are based on it, many Web pages and websites cannot be suitably summarized. We consider the context of a Web document by the textual content of all the documents linking to it. To summarize a target Web document, a context-based summarizer has to perform a preprocessing task, during which it will be decided which pieces of information in the source documents are relevant to the content of the target. Then a context-based summarizer faces two issues: first, the selected elements may partially deal with the topic of the target, second they may be related to the target and yet not contain any clues about the content of the target. In this paper we put forward two new summarization by context algorithms. The first one uses both the content and the context of the document and the second one is based only on the elements of the context. It is shown that summaries taking into account the context are usually much more relevant than those made only from the content of the target document. Optimal conditions of the proposed algorithms with respect to the sizes of the content and the context of the document to summarize are studied. (AU) |
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Summarization; Web document; Hyperlinks; Context. |
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DENT, Chris |
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Structured Document Markup Languages and Automatic Abstracting |
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On line (11/05/2005) |
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The structure of the document is used to help to summarize the text, since at computer level the marking languages make it possible to select the important words |
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structure of the document; automatic abstracting; XML; HTML |
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