A natural language front end to databases with evaluative feedback
Proc. of the ICOD-2 workshop on New applications of data bases
Another look at automatic text-retrieval systems
Communications of the ACM
Synonymy and semantic classification
Synonymy and semantic classification
Distributed expert-Based information systems: an interdisciplinary approach
Information Processing and Management: an International Journal
I3R: a new approach to the design of document retrieval systems
Journal of the American Society for Information Science
What sort of a thing is an AI experiment?
The foundation of artificial intelligence---a sourcebook
Information Retrieval Experiment
Information Retrieval Experiment
Developing the user modelling function of an intelligent interface for document retrieval systems
Developing the user modelling function of an intelligent interface for document retrieval systems
How to drive a database front end using general semantic information
ANLC '83 Proceedings of the first conference on Applied natural language processing
User models, discourse models, and some others
Computational Linguistics - Special issue on user modeling
Notes and references on early automatic classification work
ACM SIGIR Forum
A user-centred evaluation of ranking algorithms for interactive query expansion
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Linguistico-statistical approach and logics applied in documentary system
SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Linguistic knowledge can improve information retrieval
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Some(what) grand challenges for information retrieval
ACM SIGIR Forum
Strategies for evaluation of interactive multimedia information retrieval systems
MIRO'95 Proceedings of the Final conference on Multimedia Information Retrieval
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This paper is in two parts, following the suggestion that I first comment on my own past experience in information retrieval, and then present my views on the present and future.