Abstract
We propose a method to search for illustrative sentences for English multiword expressions (MWEs) from a research paper database. We focus on syntactically flexible expressions such as “regard – as.” Traditionally, illustrative sentences that contain such expressions have been searched for by limiting the maximum number of words between the component words of the MWE. However, this method could not collect enough illustrative sentences in which clauses are inserted between component words of MWEs. We therefore devised a measure that calculates the distance between component words of an MWE in a parse tree, and use it for flexible expression search. We conducted experiments, and obtained a precision of 0.832 and a recall of 0.911.
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
Baldwin, T., Villavicencio, A.: Extracting the Unextractable: A Case Study on Verb-particles. In: Proceedings of the 6th Conference on Natural Language Learning 2002, pp. 98–104 (2002)
Baldwin, T., Bannard, C., Tanaka, T., Widdows, D.: An Empirical Model of Multiword Expression Decomposability. In: Proceedings of the ACL 2003 Workshop on Multiword Expressions: Analysis, Acquisition and Treatment, pp. 89–96 (2003)
Baldwin, T.: Multiword Expressions. Advanced course at the Australasian Language Technology Summer School (2004)
Bikel, D.M.: A Distributional Analysis of a Lexicalized Statistical Parsing Model. In: Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, a Meeting of SIGDAT, pp. 182–189 (2004)
Kessler, M.M.: Bibliographic Coupling between Scientific Papers. In: Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, pp. 68–81 (1997)
Marcus, M., Kim, G., Marcinkiewicz, M.A., MacIntyre, R., Bies, A., Ferguson, M., Katz, K., Schasberger, B.: The Penn Treebank: Annotating Predicate Argument Structure. In: Proceedings of the Human Language Technology Workshop, pp. 114–119 (1994)
Nanba, H., Abekawa, T., Okumura, M., Saito, S.: Bilingual PRESRI: Integration of Multiple Research Paper Databases. In: Proceedings of the RIAO 2004, pp. 195–211 (2004)
Nanba, H., Kando, N., Okumura, M.: Classification of Research Papers using Citation Links and Citation Types: Towards Automatic Review Article Generation. In: Proceedings of the American Society for Information Science (ASIS) / the 11th SIG Classification Research Workshop, Classification for User Support and Learning, pp. 117–134 (2000)
Smadja, F.: Retrieving Collocations from Text: Xtract. Computational Linguistics 19(1 ), 143–177 (1993) (Special Issue on Using Large Corpora)
Small, H.: Co-citation in the Scientific Literature: A New Measure of the Relationship between Two Documents. Journal of the American Society for Information Science 24, 265–269 (1973)
Yamashita, T., Matsumoto, Y.: Language Independent Morphological Analysis. In: Proceedings of the 6th Conference on Applied Natural Language Processing, pp. 232–238 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nanba, H., Morishita, S. (2008). Searching for Illustrative Sentences for Multiword Expressions in a Research Paper Database. In: Buchanan, G., Masoodian, M., Cunningham, S.J. (eds) Digital Libraries: Universal and Ubiquitous Access to Information. ICADL 2008. Lecture Notes in Computer Science, vol 5362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89533-6_12
Download citation
DOI: https://doi.org/10.1007/978-3-540-89533-6_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89532-9
Online ISBN: 978-3-540-89533-6
eBook Packages: Computer ScienceComputer Science (R0)