A comparison of text retrieval models
The Computer Journal - Special issue on information retrieval
Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Information extraction as a basis for high-precision text classification
ACM Transactions on Information Systems (TOIS)
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Passage-level evidence in document retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Overview of the second text retrieval conference (TREC-2)
TREC-2 Proceedings of the second conference on Text retrieval conference
TREC and TIPSTER experiments with INQUERY
TREC-2 Proceedings of the second conference on Text retrieval conference
Knowledge-Based and Statistical Approaches to Text Retrieval
IEEE Expert: Intelligent Systems and Their Applications
Finding relevant passages using noun-noun compounds (poster session): coherence vs. proximity
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Multi-Dimensional Evaluation of Information Retrieval Results
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Active learning with committees for text categorization
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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The document author surveys the representation, query processing, and retrieval techniques used in the Inquery system. By combining evidence about relevance from the corpus, individual documents, and users, Inquery achieves effective overall recall and precision evaluation while avoiding occasional major failures.