The maximal value of a Zipf size variable: sampling properties and relationship to other parameters
Information Processing and Management: an International Journal
Towards interactive query expansion
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
An experimental study of factors important in document ranking
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
From research to application: the cite natural language information retrieval system
SIGIR '82 Proceedings of the 5th annual ACM conference on Research and development in information retrieval
Optimization for dynamic inverted index maintenance
SIGIR '90 Proceedings of the 13th annual international ACM SIGIR conference on Research and development in information retrieval
Bringing natural language information retrieval out of the closet
ACM SIGCHI Bulletin
Beyond boolean search: FLEXICON, a legal tex-based intelligent system
ICAIL '91 Proceedings of the 3rd international conference on Artificial intelligence and law
FLEXICON: an evaluation of a statistical ranking model adapted to intelligent legal text management
ICAIL '93 Proceedings of the 4th international conference on Artificial intelligence and law
Answer Extraction in Technical Domains
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
A re-examination of IR techniques in QA system
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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The most striking result in working with Professor Gerald Salton over 20 years ago on the comparison between the SMART system and the MEDLARS system [Salton69] was the fact that whereas Boolean retrieval (MEDLARS) did very well or very poorly, the SMART system always seemed to find some of the relevant records. All of us working at Cornell University during that time wanted to run a full-scale comparison between these systems to demonstrate what was to us the clear superiority of a ranking retrieval system, but this was not possible due to lack of funding and other problems.