Identification of Important Text in Full Text Articles Using Summarization

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چکیده

Other research has shown that although the abstract is more information dense, the full text of a scientific article in the biomedical domain has much greater information content.1 We know from observing indexers and studying their indexing process that some of the assigned MeSH concepts do not appear in the abstract. The indexing manual also dictates that the abstract should not be used during indexing. Thus for accurate subject analysis the full text is important. However, the greater content in the full text makes more difficult the task of deciding which of the concepts identified by the MTI indexing methods are the most important.

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تاریخ انتشار 2005