Abstract
This research project is a contribution to the global field of information discovery in digital documents. We aim to provide the user with a tool for flexible access to the contents of digital documents: a text browsing facility inspired by traditional “back-of-the-book” style indexes. It gives at a glance the main topics discussed in the document, and presents certain kinds of relationships between these topics. These are captured automatically by exploiting certain lexical classes. Previous research on this and similar topics is reviewed, followed by the main characteristics of a research prototype, which relies on modeling of professionally produced indexes. Experimental results are presented, as well as remaining hurdles and potential applications.
This research is funded by a grant from the Natural Science and Engineering Research Council of Canada.
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Da Sylva, L., Doll, F. (2005). A Document Browsing Tool: Using Lexical Classes to Convey Information. In: Kégl, B., Lapalme, G. (eds) Advances in Artificial Intelligence. Canadian AI 2005. Lecture Notes in Computer Science(), vol 3501. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424918_33
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DOI: https://doi.org/10.1007/11424918_33
Publisher Name: Springer, Berlin, Heidelberg
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