Text categorization for multiple users based on semantic features from a machine-readable dictionary
ACM Transactions on Information Systems (TOIS)
Automatic combination of multiple ranked retrieval systems
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Combining the evidence of multiple query representations for information retrieval
TREC-2 Proceedings of the second conference on Text retrieval conference
Assessing agreement on classification tasks: the kappa statistic
Computational Linguistics
Pivoted document length normalization
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Method combination for document filtering
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Experiences with selecting search engines using metasearch
ACM Transactions on Information Systems (TOIS)
Predicting the performance of linearly combined IR systems
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Natural Language Information Retrieval
Natural Language Information Retrieval
Development, implementation and testing of a discourse model for newspaper texts
HLT '93 Proceedings of the workshop on Human Language Technology
Psychiatric document retrieval using a discourse-aware model
Artificial Intelligence
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A Natural Language Processing based Information Retrieval System that was one of the original systems developed in Phase I of TIPSTER, was the basis of research in TIPSTER III the goal of which was to add two extended capabilities to the core system. Following a description of the multiple levels of linguistic processing that were developed for the original DR-LINK System, details are provided on research into query-specific data fusion and query-specific cross-document summarization. Experimental results show that there is potential for improving retrieval through query-specific fusion and that analysts found the Detailed Multiple Document Summary to be extremely useful for almost every query, while the Thumbnail sketch was useful in approximately 50% of the queries.