Preprocessing in Biomedical Literature Mining Using Natural Language Processing

Jing Peng; Hong Min Sun

doi:10.4028/www.scientific.net/AMM.687-691.1149

Paper Titles

Heterogeneous Sensors Navigation Method for Spacecraft Formation in the Proximity of Small Bodies
p.1129

Strategy and Analysis of Sport Events Based on Data Mining Technology
p.1137

The Application of Data Mining Technology in the Remote Open Management System
p.1141

Evaluation Model of Students' Entrepreneurship and Innovation in Higher Vocational College under Regional Development
p.1145

Preprocessing in Biomedical Literature Mining Using Natural Language Processing
p.1149

Research on Generalization Technology of Spatial Line Vector Data
p.1153

Research on the System of Data Mining Based on Hadoop
p.1157

Fuzzy Maximum Independent Set Problem
p.1161

Explore the Use of Computer-Aided Design in the Landscape Renderings
p.1166

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Preprocessing in Biomedical Literature Mining...

Preprocessing in Biomedical Literature Mining Using Natural Language Processing

Abstract:

The number of biomedical literatures is growing rapidly, and biomedical literature mining is becoming essential. An approach for article processing in text preprocessing is proposed in order to improve the performance of biomedical literature mining. This approach combines the Web and corpus counts in order to eliminate the limitations of noise data of the Web. We experimentally showed that the performance of the combination models is the best comparing to the pure Web and corpus models. We achieve the best precision of 89.1% on all article forms and 88.7% article loss class.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1149-1152

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1149

Citation:

Cite this paper

Online since:

November 2014

Authors:

Jing Peng, Hong Min Sun

Keywords:

Biomedical Literature Mining, NLP, Preprocessing, Text Mining

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M.D. Yandell and W.H. Majoros: Nat Rev Genet, Vol. 3 (2002) No. 8, pp.601-610.

Google Scholar

[2] S.D. Rebholz, A. Oellrich and R. Hoehndorf: Nat Rev Genet, Vol. 13 (2012) No. 12, pp.829-839.

DOI: 10.1038/nrg3337

Google Scholar

[3] J. Heine, COLING/ACL-98(Montreal, Canada, 1998), pp.519-525.

Google Scholar

[4] J. Lee, In Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics(Boston, America, 2004) pp.31-36.

Google Scholar

[5] http: /babelfish. altavista. com.

Google Scholar

[6] http: /www. infoseek. co. jp/Honyaku?pg= honyaku_top. Html &svp =SEEK.

Google Scholar