Incremental relevance feedback
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Building embedded conceptual parsers
Building embedded conceptual parsers
On relevance weights with little relevance information
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Interaction in information retrieval: selection and effectiveness of search terms
Journal of the American Society for Information Science
Clumping properties of content-bearing words
Journal of the American Society for Information Science
Answering questions for an organization online
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Question-driven information retrieval systems
Question-driven information retrieval systems
A practical part-of-speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Knowledge-based navigation of complex information spaces
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Ranked retrieval with semantic networks and vector spaces
Journal of the American Society for Information Science and Technology
Personalized search on the world wide web
The adaptive web
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A framework is presented for application-embedded information retrieval from distributed free-text collections. An application's usage is sampled by an embedded information retrieval system. Samples are converted into queries to distributed collections. Retrieval is adjusted through sample size and structure, anydata indexing, and dual space feedback. The framework is investigated with a retrieval system embedded in a text processor.