Choosing the Right Bigrams for Information Retrieval-Reference-Cited by-同舟云学术

Choosing the Right Bigrams for Information Retrieval

Published:2004 Issue: Volume: Page:531-540
ISSN:
Container-title:Classification, Clustering, and Data Mining Applications
language:
Short-container-title:

Author:

Jiang Maojin,Jensen Eric,Beitzel Steve,Argamon Shlomo

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-17103-1_50.pdf

Reference27 articles.

1. Arampatzis, A._T., T. P. van der Weide, C. H. A. Koster and v. Bommel (1998). “Phrase-based Information Retrieval.” Information Processing and Management, 34. 693–70

2. Arampatzis, A. T., T. P. van der Weide, C. H. A. Koster and v. Bommel (2000). An Evaluation of Linguistically-motivated Indexing Schemes. BCSIRSG ’2000.

3. Chowdhury, A., S. Beitzel, E. Jensen, M. Saelee, D. Grossman and O. Frieder (2000). IIT-TREC-9-Entity Based Feedback with Fusion. Ninth Annual Text Retrieval Conference, NIST.

4. Chowdhury, A. (2001). Adaptive Phrase Weighting. International Symposium on Information Systems and Engineering (ISE 2001).

5. Cornell Cornell University-SMART- ftp://cs.cornell.edu /pub/smart.

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