Abstract
This paper presents a rule based methodology for efficiently creating meaning extraction systems. The methodology allows a user to scan sample texts in a domain to be processed and to create meaning extraction rules that specifically address his or her needs. Then it automatically generalizes the rules using the power of the WordNet system so that they can effectively extract a broad class of information even though they were based on extraction from a few very specific articles. Finally, the generalized rules can be applied to large databases of text to do the translation that will extract the particular information the user desires. A recently developed mechanism is presented that uses the strategy of over-generalizing to achieve high recall (with low precision) and then selectively specializing to bring the precision up to acceptable levels.
This work has been supported by a Fellowship from IBM Corporation.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
References
Aberdeen, John, et al.: Description of the ALEMBIC System Used for MUC-6, Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 141–155, November 1995.
Appelt, Douglas E., et al.: SRI International: Description of the FASTUS System Used for MUC-6, Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 237–248, November 1995.
Amit Bagga, Joyce Chai: A Trainable Message Understanding System, to appear at ACL Workshop on Computational Natural Language Learning, 1997.
Chinchor, Nancy: MUC-4 Evaluation Metrics, Proceedings of the Fourth Message Understanding Conference (MUC-1, June 1992, San Mateo: Morgan Kaufmann.
Fisher, David, et al.: Description of the UMass System as Used for MUC-6, Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 127–140, November 1995.
Grishman, Ralph.: The NYU System for MUC-6 or Where's the Syntax? Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 167–175, November 1995.
Krupka, George R.: Description of the SRA System as Used for MUC-6, Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 221–235, November 1995.
Miller, G.A., et al.: Five Papers on WordNet, Cognitive Science Laboratory, Princeton University, No. 43, July 1990.
Resnik, Philip: Using Information Content to Evaluate Semantic Similarity in a Taxonomy. Proceedings of IJCAI-95
Weischedel, Ralph.: BBN: Description of the PLUM System as Used for MUC-6, Proceedings of the Sixth Message Understanding Conference (MUC-6), pp. 55–69, November 1995.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1997 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chai, J.Y., Biermann, A.W. (1997). A WordNet based rule generalization engine in meaning extraction system. In: Raś, Z.W., Skowron, A. (eds) Foundations of Intelligent Systems. ISMIS 1997. Lecture Notes in Computer Science, vol 1325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63614-5_51
Download citation
DOI: https://doi.org/10.1007/3-540-63614-5_51
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-63614-4
Online ISBN: 978-3-540-69612-4
eBook Packages: Springer Book Archive