Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2005-04-29
2009-12-22
Jalil, Neveen Abel (Department: 2165)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000
Reexamination Certificate
active
07636730
ABSTRACT:
Document clustering methods, document cluster label disambiguation methods, document clustering apparatuses, and articles of manufacture are described. In one aspect, a document clustering method includes providing a document set comprising a plurality of documents, providing a cluster comprising a subset of the documents of the document set, using a plurality of terms of the documents, providing a cluster label indicative of subject matter content of the documents of the cluster, wherein the cluster label comprises a plurality of word senses, and selecting one of the word senses of the cluster label.
REFERENCES:
patent: 5963940 (1999-10-01), Liddy et al.
patent: 6026388 (2000-02-01), Liddy et al.
patent: 6167368 (2000-12-01), Wacholder
patent: 6298174 (2001-10-01), Lantrip et al.
patent: 6484168 (2002-11-01), Pennock et al.
patent: 6584220 (2003-06-01), Lantrip et al.
patent: 6684205 (2004-01-01), Modha et al.
patent: 6772170 (2004-08-01), Pennock et al.
patent: 7143091 (2006-11-01), Charnock et al.
patent: 2006/0248053 (2006-11-01), Sanfilippo et al.
patent: 2007/0098266 (2007-05-01), Chiu et al.
Nirkhi et al., “Optimization of Context Disambiguation in Web Wearch Results”, Proceedings of the 2008 International Conference on Computer Science and Information Technology, pp. 820-824, 2008, IEEE.
Hirst, G. And D. St-Onge; 1998; “Lexical Chains As Representations Of Context For The Detection And Correction Of Malapropisms”; In Fellbaum; 1998; pp. 305-332.
Leacock, C. And M. Chodorow; 1998;WordNet: an Electronic Lexical Database, “Combining Local Context And WordNet Similarity For Word Sense Identification”; Chp. 11, (ed. Fellbaum), 1998, pp. 265-283.
Miller, G. And W. Charles; 1991; “Contextual Correlates Of Semantic Similarity”;Language And Cognitive Processes; 6(1): pp. 1-28.
Philip Resnik; 1995; “Using Information Content To Evaluate Semantic Similarity in a Taxonomy”; InProceedings Of The 14thInternational Joint Conference On Artificial Intelligence, pp. 448-453, Montreal.
Benassis, R. Et al.; “TUCUXI: the InTelligent Hunter Agent for Concept Understanding and LeXical Chalning”; Proceedings of IEEE/WIC/ACM Int'l Conf. On Web Intelligence; Sep. 2004; 8 pp.
Baskaran Sankaran, Vaidehi V.; “Role of Collocations and Case-Markers in Word Sense Disambiguation: A Clustering-Based Approach”; IEEE 2002 Int'l Conf. On Systems, Man and Cybernetics; Oct. 2002; 6 pp.
Agirre, E. And G. Rigau; 1996; “Word Sense Disambiguation Using Conceptual Density”; InProceedings Of The 16thInternational Conference On Computational Linguistics, pp. 16-22, Copenhagen.
Budanitsky, A And Hirst G, 2001; “Semantic Distance in WordNet: An Experimental, Application-Oriented Evaluation Of Five Measures”;Workshop On WordNet And Other Lexical Resources, Second Meeting Of The North American Chapter Of The Association For Computational Linguistics, Pittsburgh.
Gale, W., K. Church, and D. Yarowsky; 1992; “One Sense Per Discourse”; InProceedings of the 4thDarpa Speech And Natural Language Workshop, pp. 233-237.
Jiang, J. And D. Conrath; 1997; “Semantic Similarity Based On Corpus Statistics And Lexical Taxonomy”; In Proceedings of International Conference On Research In Computation Linguistics, Taiwan.
Leacock, C. And M. Chodorow; 1998; “Combining Local Context And WordNet Similarity For Word Sense Identification”; in Fellbaum, 1998, pp. 265-283.
Lin, D.; 1998; “An Information-Theoretic Definition of Similarity”; InProceedings Of The 15thInternational Conference On Machine Learning; Madison WI.
Herbert Rubenstein And John B. Goodenough; 1965; “Computational Linguistics” “Contextual Correlates Of Synonymy”;Communications Of The ACM; 8(10): 627-633.
Michael Sussna: 1993; “Word Sense Disambiguation For Free-Text Indexing Using A Massive Semantic Network”; InProceedings Of The Second International Conference On Information And Knowledge Management(CIKM-93) pp. 67-74, Arlington VA.
Wise, J.A.; J.J. Thomas, et al.; 1995; “Visualizing The Non-Visual: Spatial Analysis And Interaction With Information From Text Documents”;IEEE Information Visualization; IEEE Press, Los Alamitos CA; 14 pp.
WordNet (http://www.cogsci.princeton.edu/˜wn); Dec. 3, 2004; 2 pp.
R. Rada, M. Hafedh, E. Bicknell and M. Blettner, 1989 Development and Application of a Metric on Semantic Nets, IEEE Transactions on System, Man, and Cybernetics, 19(1):17-30).
http://www.d.umn.edu/˜tpederse/similarity.html; Dec. 3, 2004; 1 pp.
http://wwww.cs.unt.edu/˜rada/downloads.html; Software and data Sets; Rada; Apr. 25, 2005; 4 pp.
http://groups.yahoo.com/group/wn-similarity; 2004; 2 pp.
http://search.cpan.org/dist/WordNet-Similarity; Dec. 3, 2004; 2 pp.
http://search.cpan.org/src/TPEDERSE/WordNet-Similarity-0.12/README; Dec. 3, 2004; 4 pp.
http://search.cpan.org/src/TPEDERSE/WordNet-Similarity-0.12/CHANGES Dec. 3, 2004; 14 pp.
http://search.cpan.org/dist/WordNet-Similarity/doc/todo.pod; Dec. 3, 2004; 3 pp.
http://search.cpan.org/dist/WordNet-QueryData Dec. 3, 2004; 1 pp.
U.S. Appl. No. 10/602,802, filed Jun. 24, 2003, Thomas et al.
“International Preliminary Report on Patentability and Written Opinion of Searching Authority”; S/N: PCT/US2006/012791; mailed Nov. 8, 2007; 8 pp.
Calapristi Augustin J.
Crow Vernon L.
Hetzler Elizabeth G.
Sanfilippo Antonio
Turner Alan E.
Abel Jalil Neveen
Battelle Memorial Research
Hicks Michael J
Wells St. John P.S.
LandOfFree
Document clustering methods, document cluster label... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Document clustering methods, document cluster label..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Document clustering methods, document cluster label... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4090483