Syntactic Indexes for Text Retrieval
Abstract
Keywords
References
D.C. Manning, P. Raghavan, and H. Schutze, An Introduction to Information Retrieval.Cambridge, England, Cambridge University Press, 2009.
C. Stefano, Web Information Retrieval.Berlin,Springer,2013.
T. Lahtinen. Automatic Indexing: An Approach Using an Index Term Corpus and Combining Linguistic and Statistical Methods, PhD thesis, University of Helsinki, 2000.
D.A. Evans and C. Zhai, "Noun-phrase analysis in unrestricted text for information retrieval," in Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, June 1996, pp. 17-24.
C.A. Bechikh and H. Haddad, "A quality study of noun phrases as document keywords for information retrieval," International Conference on Control, Engineering and Information Technology, 2013.
F. Jelinek. Statistical Methods for Speech Recognition. The MIT Press, Cambridge, Massachusetts, 1998.
P.F. Brown, J. Cocke, S. D. Pietra, V. J. D. Pietra, F. Jelinek, J. D. Lafferty, R. L. Mercer, and P. S. Roossin, "A statistical approach to machine translation," Computational Linguistics, vol. 16, no. 2, pp. 79-85, 1990.
A. Berger and J.D. Lafferty, "Information retrieval as statistical translation," in Proceedings of SIGIR'99, 1999, pp. 222-229.
D. Hiemstra, "A linguistically motivated probabilistic model of information retrieval," in European Conference on Digital Libraries, 1988, pp. 569-584.
J. Lafferty and C. Zhai, "Document language models, query models, and risk minimization for information retrieval," in Proceedings of SIGIR'01, 2001, pp. 111-119.
The Stanford Parser, http://nlp.stanford.edu/software/lex-parser.shtml.
A.D. Grossman and O. Frieder, Information Retrieval: Algorithms and Heuristics, 2nd ed., Chicago: Springer,2004.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.
IT in Industry @ (2012 - ) . http://www.it-in-industry.com . ISSN (Online): 2203-1731; ISSN (Print): 2204-0595