Shallow NLP techniques for noun phrase extraction

Proceedings of the 2nd International Conference on Trendz in Information Sciences and Computing, TISC-2010

Volumn , Issue , 2010, Pages 73-77

  Subhashini, R ^a   Senthil Kumar, V Jawahar ^b  

^a SATHYABAMA UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

Chunking; Information retrieval; NLP; Noun phrases

Indexed keywords

BAG OF WORDS; CHUNKING; KEY-PHRASE; KEYWORD-BASED SEARCH; NATURAL LANGUAGE TEXT DOCUMENTS; NLP; NOUN PHRASE; NOUN PHRASE EXTRACTORS; NOUN PHRASES; PART OF SPEECH TAGGING; RETRIEVED DOCUMENTS; SEARCH RESULTS; SHALLOW NLP; SIMPLE SYSTEM; TEST COLLECTION; TEXT RETRIEVAL; TOKENIZATION;

INFORMATION RETRIEVAL SYSTEMS; INFORMATION SCIENCE; NATURAL LANGUAGE PROCESSING SYSTEMS; SEARCH ENGINES;

INFORMATION RETRIEVAL;

EID: 79952793127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TISC.2010.5714612     Document Type: Conference Paper

References (22)

1. Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.
2. L. Page and S. Brin,: The anatomy of a search engine, in. Proc. of the 7th International WWW Conference (WWW 98), Brisbane, Australia, April 14-18, 1998.
3. Jansen, B. J.: The effect of query complexity on Web searching results. Information Research, Volume 6 No. 1, October 2000.
4. Mrs. K. P. Supreethi Dr. E.V.Prasad ,Web Document Clustering Technique Using Case Grammar Structure, International Conference on Computational Intelligence and Multimedia Applications 2007.
5. M. Liu, X. & Croft, W.B.: Statistical Language Modeling for Information Retrieval. In Cronin, B. (Ed.). Annual Review of Information Science & Technology. Vol 38(2004).
6. Baeza-Yates, R., Ribeiro-Neto, B. Modern Information Retrieval. ACM Press. New York. 1999. pp. 25-30.
7. Hung, C. and D. Xiaotie, A new suffix tree similarity measure for document clustering, in Proceedings of the 16th international conference on World Wide Web. 2007,ACM: Banff, Alberta, Canada.
8. http://ir.dcs.gla.ac.uk/resources/test-collections/
9. Arampatzis, A., van der Weide, Th.P., Koster, C.H.A. and van Bommel, P.(1990), Text Filtering using Linguistically-motivated Indexing Terms, Technical Report CSI-R9901, Computing Science Institute, University of Nijmegen, Nijmegen, The Netherlands.
10. Arampatzis, A., van der Weide, Th.P., Koster, C.H.A. and van Bommel, P.(1990), Text Filtering using Linguistically-motivated Indexing Terms, Technical Report CSI-R9901, Computing Science Institute, University of Nijmegen, Nijmegen, The Netherlands.
11. Turney, P. (1999), 'Learning to extract keyphrases from text', Technical Report ERB-1057, National Research Council, Institute for Information Technology.
12. Turney, P. (2000), 'Learning algorithms for keyphrase extraction', Information Retrieval 2(4), 303-336.
13. Agichtein, E., Lawrence, S. & Gravano, L. (2001), Learning search engine specific query transformations for question answering, in 'World Wide Web', pp. 169-178.
14. Church, Kenneth (1988), "A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text," Proceedings of Second Conference on Applied Natural Language Processing, pp. 136-143.
15. Voutilainen, Atro (1993), "NPtool, a Detector of English Noun Phrases," Proceedings of the Workshop on Very Large Corpora:Academic and Industrial Perspectives, Ohio State University, Columbus, Ohio, USA, pp. 48-57.
16. Majumder P., Mitra M., Chaudhari B., "N-gram: A Language Independent Approach to IR and Natural Language Processing", Lecture Notes, 2002.
17. Narita, M.& Ogawa, Y. (2000). The use of phrases from query texts in information retrieval. SIGIR Forum, 34, 318-20
18. Koeling, Rob. "Chunking with Maximum Entropy Models." 2nd Workshop on Learning Language in Logic and the 4th Conference on Computational Natural Language Learning. Lisbon, Portugal: Association for Computational Linguistics, 2000. 139-141.
19. http://www.codeplex.com/sharpnlp
20. http://developer.yahoo.com/search/boss/
21. Gerard Salton and Michael McGill. 1983. Introduction to Modern Information Retrieval, New York, NY: McGrawHill.
22. BUCKLEY, C.; ALLAN, J.; SALTON, G.: Automatic Retrieval with Locality Information using SMART. In Proceedings of the First Text Retrieval Conference TREC-1. 1993, p. 59-72.