We address some issues relating to retrieval from unfamiliar text collections consisting of full-length documents. We claim that displaying query results in terms of inter-document similarity is inappropriate with long texts, and suggest instead that the results of simple initial queries should be contextualized according to category sets that correspond to the main topics of the texts. We argue that main topics of long texts should be represented by multiple categories, since in most cases one category cannot adequately classify a text. We describe a new automatic categorization algorithm that does not require pre-labeled texts and a prototype browsing interface that presents a simple mechanism for displaying multi-dimensional information.
Title
Contextualizing Retrieval of Full-Length Documents
Published
1994-01-01
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Other Identifiers
CSD-94-789
Type
Text
Extent
13 p
Archive
The Engineering Library
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