Apparatus and method for term context modeling for...

Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C707S758000, C707S781000, C707S917000

Reexamination Certificate

active

07937397

ABSTRACT:
A novel method for going beyond the observed properties of a keyword, to a model in which the presence of a term in a document is assessed not by looking at the actual occurrence of that term, but by a set of non-independent supporting terms, defining the context. In other words, similarity is determined not by properties of the keyword, but by properties of the keyword's context. This yields a scoring for documents which is useful for ad hoc retrieval and, by extension, any information retrieval task where keyword-based similarity is needed.

REFERENCES:
patent: 5404514 (1995-04-01), Kageneck et al.
patent: 6611825 (2003-08-01), Billheimer et al.
patent: 7295965 (2007-11-01), Haigh et al.
patent: 2004/0024583 (2004-02-01), Freeman
patent: 2005/0143971 (2005-06-01), Burstein et al.
Mikhail Bilenko, “Adaptive Duplicate Detection Using Learnable String Similarity Measures,” Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003), Washington, D.C., p. 39-48, Aug. 2003).
S.E. Robertson, et al., “Relevance Weighting of Search Terms”,Journal of the American Society for Information Science, vol. 27, No. 3, May-Jun. 1976, pp. 129-146.
Jay M. Ponte, et al., “A Language Modeling Approach to Information Retrieval”,Proceedings for the ACM SIGIR Conference, 1998, pp. 275-281, ACM, Melbourne, Australia.
Adam L. Berger, et al., “A Maximum Entropy Approach to Natural Language Processing”,Computational Linguistics, 1996, pp. 39-71, 22(1), Association for Computational Linguistics.
Stephen Della Pietra, et al., “Inducing Features of Random Fields”,IEEE Transactions on Pattern Analysis and Machine Intelligence, pp. 380-393, Apr. 1997, vol. 19, No. 4.
Doug Beeferman, et al., “Text Segmentation Using Exponential Models”,Proceedings of the Second Conference on Empirical Methods in Natural Language Processing, School of Computer Science, Carnegie Mellon University.
Ronald Rosenfield, “A Maximum Entropy Approach to Adaptive Statistical Language Modeling”,Computer, Speech, and Language, pp. 187-228, May 1996, vol. 10.
Nadia Ghamrawi, et al., “Collective Multi-Label Classification”,Proceedings of CIKM, Oct. 31-Nov. 5, 2005, pp. 195-200, Bremen, Germany.
M.F. Porter, “An algorithm for suffix stripping”,Program, vol. 14 No. 3, pp. 130-137, Jul. 1980.
S. E. Robertson, et al., “Okapi at TREC-3”,3rdAnnual Text Retrieval Conference, NIST, Gaithersburg, MD, 1994.
Ellen M. Voorhees, et al., “Overview of the Sixth Text Retrieval Conference (TREC-6)”,Information Processing and Management, 36(1), pp. 3-35, 2000.
Chana R. Schoenberger, “Out of Context: Paid search is the hottest thing on the Web, yet online ads still struggle to be relevant”, Forbes.com, Nov. 29, 2004. http://www.forbes.com/business/global/2004/1129/064.html.
Donald Metzler, et al., “A Markov Random Field Model for Term Dependencies”,28thAnnual ACM SIGIR Conference, pp. 472-479, Aug. 15-19, 2005, Salvador, Brazil.
Victor Lavrenko, et al., “Relevance-Based Language Models”,Proceedings of the ACM SIGIR Conference, pp. 120-127, Sep. 9-12, 2001, New Orleans, Louisiana, USA.
Ramesh Nallapati, “Discriminative Models for Information Retrieval”,Proceedings of the ACM SIGIR Conference, Jul. 25-29, 2004, Sheffield, U.K.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Apparatus and method for term context modeling for... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Apparatus and method for term context modeling for..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Apparatus and method for term context modeling for... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2649887

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.