Adaptive natural language interfaces to FAQ knowledge bases

Data and Knowledge Engineering

Volumn 35, Issue 2, 2000, Pages 181-199

  Winiwarter, Werner ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ADAPTIVE INTERFACES; NATURAL LANGUAGE INTERFACES;

KNOWLEDGE ACQUISITION;

EID: 0034325498     PISSN: 0169023X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0169-023X(00)00032-X     Document Type: Article

References (20)

1. K. Ahmad et al., Creating terminology resources, in: M. Kugler, K. Ahmad, G. Thurmair (Eds.), Research Reports ESPRIT: Translator's Workbench - Tools and Terminology and Text Processing, Project 2315 TWB, Springer, Berlin, 1994.
2. Bar-Hillel Y. On categorial and phrase structure grammars. Bar-Hillel Y. Language and Information. 1964;Addison-Wesley, Reading, MA.
3. M.L. Barja, et al., An effective deductive object-oriented database through language integration, in: Proceedings of the International Conference on very Large Data Bases, 1994, pp. 463-474.
4. J.W. Breen, A Japanese Dictionary Project (Part 1: The Dictionary Files), Technical Report, Department of Robotics & Digital Technology, Monash University, 1993.
5. J.W. Breen, Building an electronic Japanese-English dictionary, in: Proceedings of the Japanese Studies Association of Australia Conference, 1995.
6. Dutton D.M., Conroy G.V. A review of machine learning. The Knowledge Engineering Review. 12(4):1997;341-367.
7. Frederking R.E. Integrated Natural Language Dialogue. 1988;Kluwer, Boston.
8. H. Fujii, W.B. Croft, A comparison of indexing techniques for Japanese text retrieval, in: Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 1993, pp. 237-246.
9. McClain Y.M. Handbook of Modern Japanese Grammar. 1981;Hokuseido Press, Tokyo.
10. Quinlan J.R. Induction of decision trees. Machine Learning. 1(1):1986.
11. R. Rymon, An SE-tree-based characterization of the induction problem, in: Proceedings of the International Conference on Machine Learning, 1993, pp. 268-275.
12. P. Steffens, Machine translation and the lexicon, in: Proceedings of the International EAMT Workshop, 1994.
13. Wermter S., Riloff E., Scheler G. Connectionist, Statistical, and Symbolic Approaches to Learning for Natural Language Processing. 1996;Springer, Berlin.
14. W. Winiwarter, Why is deduction required for database systems? - Some case studies, in: Proceedings of the Data Engineering Forum, 1995, pp. 21-30.
15. W. Winiwarter, Unknown value lists and their use for semantic analysis in IDA-the integrated deductive approach to natural language interface design, in: Proceedings of the Australasian Database Conference, 1996, pp. 194-203.
16. W. Winiwarter, et al., Collaborative hypermedia education with the VIENA classroom system, in: Proceedings of the Australasian Conference on Computer Science Education, 1996, pp. 337-343.
17. W. Winiwarter, O. Kagawa, Y. Kambayashi, Syntactic disambiguation by using categorial parsing in a DOOD framework, in: Proceedings of the German Annual Conference on Artificial Intelligence, 1996, pp. 363-375.
18. W. Winiwarter, An adaptive natural language interface architecture to access FAQ knowledge bases, in: Proceedings of the Fourth International Conference on Applications of Natural Language to Information Systems, 1999, pp. 127-136.
19. K. Wittenburg, Natural language parsing with combinatory categorial grammar in a graph-unification based formalism, Ph.D. Thesis, University of Texas, 1986.
20. Wright S.E., Budin G. Handbook of Terminology Management. 1995;John Benjamins, Amsterdam.