Abstract
In this report, we present the system that allows various forms of knowledge exchange for users of the natural language question answering system. The tool is also capable of performing the domain restructuring by domain experts to adjust it to a particular audience of customers. The tool is implemented for financial and legal advisors, where the information is extremely dynamic by nature and requires fast correction and update in natural language. Knowledge management takes advantage of the technique of semantic headers, which is applied to represent the poorly structured and logically complex data in the form of textual answers. Question answering is performed by matching the semantic representation of a query with the ones of the answers. The issues of domain extension via understanding of natural language definitions of new entities and new objects are addressed.
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
Answer Logic, Inc. White Paper http://www.answer-logic.com (2000).
Allen, J.F. Natural language, knowledge representation, and logical form. In Bates, M. & Weischedel, R.M., eds. Challenges in NLP pp146–175. Cambridge Univ. Press. (1993).
Tiwana, A. 1999 Knowledge management toolkit: practical techniques for building a knowledge management system. Prentice Hall (1999).
Liebowitz, J. Knowledge management handbook. CRC Press (1999).
Galitsky, B. 2000 Technique of semantic headers: a manual for knowledge engineers DIMACS Tech. Report #2000-29, Rutgers University (2000).
Ourioupina, O., Galitsky, B. Application of default reasoning to semantic processing under question-answering. DIMACS Tech. Report #2001-15, Rutgers University (2001).
Galitsky, B. Semi-structured knowledge representation for the automated financial advisor. In Monostori, L., Vancza, J., Ali, M., eds. Engineering of Intelligent Systems LNAI 2070: 14th IEA/AIE Conference, p. 874–879 (2001).
Alexander J.H., Freiling M.J., Shulman S.J., Staley J.L., Rehfuss S. Messick S.L. Knowledge level engineering: ontological analysis in AAAI Natl Conf pp. 963–68 (1986).
Prerau D.S. Developing and managing expert systems. Reading, MA Addison-Wesley(1990).
Turmo, J. and Rodrigues, H. Selecting a relevant set of examples to learn IE-rules. In Monostori, L., Vancza, J., Ali, M., eds. Engineering of Intelligent Systems LNAI 2070: 14th IEA/AIE Conference (2001).
van Melle W.J. System aids in constructing consultation programs. Ann Arbor MI: UMI Research Press (1981).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Galitsky, B. (2002). A Tool for Extension and Restructuring Natural Language Question Answering Domains. In: Hendtlass, T., Ali, M. (eds) Developments in Applied Artificial Intelligence. IEA/AIE 2002. Lecture Notes in Computer Science(), vol 2358. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48035-8_47
Download citation
DOI: https://doi.org/10.1007/3-540-48035-8_47
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43781-9
Online ISBN: 978-3-540-48035-8
eBook Packages: Springer Book Archive