Systems for retrieving data from pre-coded databases in response to natural language questions are one type of infor mation retrieval system. The paper discusses some of the problems involved in designing such systems, and uses a sys tem currently being developed to illustrate one approach to them.
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References
1.
B.K Boguraev , Automatic resolution of linguistic ambiguities, Ph.D. thesis, University of Cambridge, Tech. Rep. No. 11, Computer Laboratory . University of Cambridge (1979).
2.
W.A. Woods , Transition network grammars for natural language analysis, Comm. ACM13 (1970) 591-606.
3.
Y.A. Wilks .An intelligent analyser and understander of English, Comm. ACM18 (1975) 264-274.
4.
E.J. Damerau , The transformational question answering (TQA) system: description, operating experience, and implications, Proc. of the Second International Conference on Data Bases in the Humanities and Social Sciences (1980); Report RC8287, IBM Thomas J. Watson Research Centre, Yorktown Heights. NY (1980).
5.
L.R. Harris, Experience with ROBOT in 12 commercial natural language data base query applications , Proc. of the Sixth International Joint Conference on Artificial Intelligence (1979) pp. 365-368.
