Number of found records: 80
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HOVY, Eduard; MARCU, Daniel |
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Automated Text summarization |
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Tutorial Coling ACL´98 |
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On line ( 15/06/2004) |
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Tutorial that offers the state of the art of automated text summarization, evaluating and criticising different approaches. It presents the different types of abstract and their methodology. It explains how a summary system can interact with other systems of natural language processing |
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automated text summarization; evaluation; natural language processing (OWN) |
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HUMPHREY, Susanne M. |
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Automatic indexing of documents from journal descriptors: a preliminary investigation |
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Journal of the American Society for Information Science,1999, vol.50, n.8, pp.661-674 |
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On line (11/05/2005) |
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A new, fully automated approach for indexing documents is presented based on associating textwords in a training set of bibliographic citations with the indexing of journals. This journal-level indexing is in the form of a consistent, timely set of journal descriptors (JDs) indexing the individual journals themselves. This indexing is maintained in journal records in a serials authority database. The advantage of this novel approach is that the training set does not depend on previous manual indexing of hundreds of thousands of documents (i.e., any such indexing already in the training set is not used), but rather the relatively small intellectual effort of indexing at the journal level, usually a matter of a few thousand unique journals for which retrospective indexing to maintain consistency and currency may be feasible. If successful, JD indexing would provide topical categorization of documents outside the training set, i.e., journal articles, monographs, WEB documents, reports from the grey literature, etc., and therefore be applied in searching. Because JDs are quite general, corresponding to subject domains, their most probable use would be for improving or refining search results. (AU) |
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indexing; medline; thesaurus; serial |
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KAN, Min-Yen; KLAVANS, Judith L. |
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Using Librarian Techniques in Automatic Text Summarization for Information Retrieval |
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JCDL'02, July 13-17, 2002, Portland, Oregon, USA. |
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On line ( 15/06/2004) |
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A current application of automatic text summarization is to provide an overview of relevant documents coming from an information retrieval (IR) system. This paper examines how CENTRIFUSER, one such summarization system, was designed with respect to methods used in the library community. We have reviewed these librarian expert techniques to assist information seekers and codified them into eight distinct strategies. We detail how we have operationalized six of these strategies in Centrifuser by computing an informative extract, indicative differences between documents, as well as navigational links to narrow or broaden a user's query. We conclude the paper with results from a preliminary evaluation (AU) |
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Information Storage and Retrieval; digital library; Natural Language Processing; Text Analysis |
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LEHMAM, Abderrafih |
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Text structuration leading to an automatic summary system: RAFI. |
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Information Processing and Management, 1999, vol.35, pp.181-191. |
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On line (11/05/2005) |
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Proposes a system automatically and directly transforming a source text into a reduced target text. It deals exclusively with scientific and technical texts and is based on the identification of specific expressions allowing an evaluation of the relevance of the sentence concerned, which can then be selected for the elaboration of the summary. The procedure consists in attributing a score to each sentence of the text and then eliminating those having the lowest scores. To produce the RAFI system (automatic summary based on indicative fragments), the linguistic means of discourse analysis and the computing capacity of data processing instruments were used. The system could be adapted to Internet. (DB) |
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Automatic-text-analysis; automatic abstracting; RAFI |
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