DIKEA: Exploiting Wikipedia for keyphrase extraction

Author:

Wang David X.1,Gao Xiaoying1,Andreae Peter1

Affiliation:

1. Victoria University of Wellington, New Zealand. E-mails: xiao.wang.saturnv@gmail.com, xgao@ecs.vuw.ac.nz, pondy@ecs.vuw.ac.nz

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Networks and Communications,Software

Reference26 articles.

1. [1]G. Berend and R. Farkas, Sztergak: Feature engineering for keyphrase extraction, in: Proc. of the 5th International Workshop on Semantic Evaluation, SemEval ’10, Association for Computational Linguistics, Stroudsburg, PA, USA, 2010, pp. 186–189.

2. Weka – experiences with a Java open-source project;Bouckaert;J. Mach. Learn. Res.,2010

3. Random forests;Breiman;Machine Learning,2001

4. [4]O. Egozi, E. Gabrilovich and S. Markovitch, Concept-based feature generation and selection for information retrieval, in: AAAI, D. Fox and C.P. Gomes, eds, AAAI Press, 2008, pp. 1132–1137.

5. [5]S.R. El-Beltagy and A. Rafea, Kp-miner: Participation in semeval-2, in: Proc. of the 5th International Workshop on Semantic Evaluation, SemEval ’10, Association for Computational Linguistics, Stroudsburg, PA, USA, 2010, pp. 190–193.

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