Inferencing in information retrieval

Authors:
Alexa T. McCray
Affiliations:
National Library of Medicine, Bethesda, Maryland
Venue:
HLT '91 Proceedings of the workshop on Speech and Natural Language
Year:
1992

Citing 4
Cited 0

The vocabulary problem in human-system communication

Communications of the ACM
On the application of syntactic methodologies in automatic text analysis

Information Processing and Management: an International Journal - Special issue on natural language processing and information retrieval
Automated access to a large medical dictionary: online assistance for research and application in natural language processing

Computers and Biomedical Research
Where should the person stop and the information search interface start?

Information Processing and Management: an International Journal

Quantified Score

Hi-index	0.01

Visualization

Abstract

We have been addressing the problem of providing access to the free text in biomedical databases. The focus of our work is the development of SPECIALIST, an experimental NLP system for the biomedical domain. The system includes a broad coverage parser supported by a large lexicon, a module that provides access to extensive biomedical knowledge sources, and a retrieval module that allows us to carry out experiments in information retrieval. We have recently conducted experiments with a test collection of queries and documents retrieved for those queries. The purpose of the investigation has been to determine the type of information that is required in order to effect a map between the language of queries and the language of relevant documents.