Abstract
In most natural language database interfaces (NLDBI), translation knowledge acquisition heavily depends on human specialties, consequently undermining domain portability. This paper attempts to semi-automatically construct translation knowledge by introducing a physical Entity-Relationship schema, and by simplifying translation knowledge structures. Based on this semi-automatically produced translation knowledge, a noun translation method is proposed in order to resolve NLDBI translation ambiguities.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Androutsopoulos, I.: Interfacing a Natural Language Front-End to Relational Database. Master.s thesis, Technical Report 11, Department of Artificial Intelligence, University of Edinburgh (1993)
Androutsopoulos, I., Ritchie, G.D., Thanisch, P.: Natural Language Interfaces to Databases. An Introduction. Natural Language Engineering 1(1), 29–81 (1995)
Copeck, T., Barker, K., Delisle, S., Szpakowicz, S., Delannoy, J.F.: What is Technical Text? Language Sciences 19(4), 391–424 (1997)
Damerau, F.: Problems and Some Solutions in Customization of Natural Language Database Front Ends. ACM Transactions on Office Information Systems 3(2), 165–184 (1985)
Furnas, G.W., Landauer, T.K., Gomez, L.M., Dumais, S.T.: The vocabulary problem in human-system communication. Communications of the ACM 30(11), 964–971 (1987)
Grosz, B.J., Appelt, D.E., Martin, P.A., Pereira, F.C.N.: TEAM: An Experiment in the Design of Transportable Natural-Language Interfaces. Artificial Intelligence 32(2), 173–243 (1987)
Hendrix, G.G., Sacerdoti, D., Sagalowicz, D., Slocum, J.: Developing a Natural Language Interface to Complex Data. ACM Transactions on Database Systems 3(2), 105–147 (1978)
Lee, H.D., Park, J.C.: Interpretation of Natural language Queries for Relational Database Access with Combinatory Categorial Grammar. International Journal of Computer Processing of Oriental Languages 15(3), 281–304 (2002)
Meng, F., Chu, W.W.: Database Query Formation from Natural Language using Semantic Modeling and Statistical Keyword Meaning Disambiguation. Technical Report, CSD-TR 990003,University of California, Los Angeles (1999)
Salton, G., McGill, M.J.: An Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)
Wallace, M.: Communicating with Databases in Natural Language. Ellis Horwood, Chichester (1984)
Waltz, D.L.: An English Language Question Answering System for a Large Relational Database. Communications of the ACM 21(7), 526–539 (1978)
Warren, D., Pereira, F.: An Efficient Easily Adaptable System for Interpreting Natural Language Queries. Computational Linguistics 8(3-4), 110–122 (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kang, IS., Bae, JH.J., Lee, JH. (2005). Natural Language Database Access Using Semi-automatically Constructed Translation Knowledge. In: Su, KY., Tsujii, J., Lee, JH., Kwong, O.Y. (eds) Natural Language Processing – IJCNLP 2004. IJCNLP 2004. Lecture Notes in Computer Science(), vol 3248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30211-7_30
Download citation
DOI: https://doi.org/10.1007/978-3-540-30211-7_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24475-2
Online ISBN: 978-3-540-30211-7
eBook Packages: Computer ScienceComputer Science (R0)