Abstract
The problems of Mutual Information were analyzed when it was used for term extraction. In order to reduce the impact of problems, a method of candidate term filtration and extraction with threshold interval was proposed. And a determination algorithm was given, which can give the best upper and lower thresholds fast and accurately through data sampling, statistics and computing. Compared with the method of mutual information filtration with single threshold, the proposed method filtered and extracted candidate terms by setting two thresholds in the premise of not changing the calculating formula of mutual information. Experimental results show that the proposed method can improve the precise rate and F-measure significantly under the same conditions.
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
Church, K., Gale, W., Hanks, P., et al.: Using statistics in lexical analysis. In: Zernik, U. (ed.) Lexical Acquisition: Exploiting On-Line Resources to Build a Lexicon, pp. 115–164. Lawrence Erlbaum, Hillsdale (1991)
Yu, L.: A research on acquisition and verification of concepts from large-scale Chinese corpora. Institute of Computing Technology Chinese Academy of Sciences, Beijing (2006)
Manning, C.D., Schutze, H.: Foundations of Statistical Nnatural Language Processing. Publishing House of Electronics Industry, Beijing (2005)
Pazienza, M.T., Pennacchiotti, M., Zanzotto, F.M.: Terminology extraction: an analysis of linguistic and statistical approaches. In: Knowledge Mining, pp. 255–279. Springer, Berlin (2005)
Hodges, J., Yie, S., et al.: An automated system that assists in the generation of document indexes. Natural Language Engineering 1996(2), 137–160 (1996)
Zhang, F., Xu, Y., Hou, Y., et al.: Chinese term extraction system based on mutual information. Application Research of Computers 2005(5), 72–73 (2005)
He, T.T., Zhang, Y.: Automatic Chinese term extraction based on decomposition of Prime String. Computer Engineering 32(23), 188–190 (2006)
Hu, W.M., He, T.T., Zhang, Y.: Extraction of Chinese term based on chi-square test. Computer Application 27(12), 3019–3020 (2007)
Liang, Y.H., Zhang, W.J., Zhou, D.F.: A hybrid strategy for high precision long term extraction. Journal of Chinese Information Processing 23(6), 26–30 (2009)
Sun, J.P., Jia, M., Liu, Z.B.: On a text-oriented concept extraction technique. Computer Applications and Software 26(9), 28–30 (2009)
Chen, W.L., Zhu, J.B., Yao, T.S., et al.: Automatic learning field words by bootstrapping. In: The 7th Joint Symposium of Computational Linguistics, pp. 67–72. Tsinghua University Press, Beijing (2003)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bin, Y., Shichao, C. (2011). Term Extraction Method Based on Mutual Information with Threshold Interval. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23226-8_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-23226-8_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23225-1
Online ISBN: 978-3-642-23226-8
eBook Packages: Computer ScienceComputer Science (R0)