Publication | Closed Access
Automatic identification and organization of index terms for interactive browsing
42
Citations
18
References
2001
Year
Unknown Venue
EngineeringIntelligent Information RetrievalInteractive SearchSemantic WebCorpus LinguisticsText MiningNatural Language ProcessingInformation RetrievalData ScienceData MiningComputational LinguisticsQuery ExpansionLanguage StudiesContent AnalysisDynamic Text BrowserAutomatic IndexingIndex TermsKnowledge DiscoveryText IndexingComputer ScienceSearch Engine DesignInformation Acces SSearch Engine IndexingLinguisticsInteractive Information Retrieval
The potential of automatically generated indexes for information acces s has been recognized for several decades (e.g., Bush 1945 [2], Edmundson and Wyllys 1961 [4]), but the quantity of text and the ambiguity of natural language processing have made progress at this task more difficult than was originally foreseen. Recently, a body of work on development of interactive systems to support phrase browsing has begun to emerge (e.g., Anick and Vaithyanathan 1997 [1], Gutwin et al. [10], Nevill-Manning et al. 1997 [17], Godby and Reighart 1998 [9]). In this paper, we consider two issues related to the use of automatically identified phrases as index terms in a dynamic text browser (DTB), a user-centered system for navigating and browsing index terms: 1) What criteria are useful for assessing the usefulness of automatically identified index terms? and 2) Is the quality of the terms identified by automatic indexing such that they provide useful access to document content?
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