Data processing: artificial intelligence – Knowledge processing system – Knowledge representation and reasoning technique
Reexamination Certificate
2004-04-14
2008-07-29
Vincent, David (Department: 2129)
Data processing: artificial intelligence
Knowledge processing system
Knowledge representation and reasoning technique
C706S045000, C707S793000, C704S009000
Reexamination Certificate
active
07406456
ABSTRACT:
An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
REFERENCES:
patent: 4839853 (1989-06-01), Deerwester et al.
patent: 5301109 (1994-04-01), Landauer et al.
patent: 5379366 (1995-01-01), Noyes
patent: 5404506 (1995-04-01), Fujisawa et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5625767 (1997-04-01), Bartell et al.
patent: 5740323 (1998-04-01), Nomura et al.
patent: 5790754 (1998-08-01), Mozer et al.
patent: 5809490 (1998-09-01), Guiver et al.
patent: 5826268 (1998-10-01), Schaefer et al.
patent: 5828999 (1998-10-01), Bellegarda et al.
patent: 5873056 (1999-02-01), Liddy et al.
patent: 5924105 (1999-07-01), Punch et al.
patent: 5937384 (1999-08-01), Huang et al.
patent: 5963940 (1999-10-01), Liddy et al.
patent: 5974412 (1999-10-01), Hazlehurst et al.
patent: 6006221 (1999-12-01), Liddy et al.
patent: 6021387 (2000-02-01), Mozer et al.
patent: 6026388 (2000-02-01), Liddy et al.
patent: 6076088 (2000-06-01), Paik et al.
patent: 6138116 (2000-10-01), Kitagawa et al.
patent: 6175828 (2001-01-01), Kuromusha et al.
patent: 6189002 (2001-02-01), Roitblat
patent: 6208971 (2001-03-01), Bellegarda et al.
patent: 6216112 (2001-04-01), Fuller et al.
patent: 6246977 (2001-06-01), Messerly et al.
patent: 6263335 (2001-07-01), Paik et al.
patent: 6269361 (2001-07-01), Davis et al.
patent: 6269368 (2001-07-01), Diamond
patent: 6289353 (2001-09-01), Hazlehurst et al.
patent: 6304864 (2001-10-01), Liddy et al.
patent: 6356864 (2002-03-01), Foltz et al.
patent: 6405199 (2002-06-01), Carter et al.
patent: 6418434 (2002-07-01), Johnson et al.
patent: 6430559 (2002-08-01), Zhai
patent: 6446061 (2002-09-01), Doerre et al.
patent: 6513027 (2003-01-01), Powers et al.
patent: 6523026 (2003-02-01), Gillis
patent: 7725227 (2004-04-01), Li
patent: 6816857 (2004-11-01), Weissman et al.
patent: 6847966 (2005-01-01), Sommer et al.
patent: 2002/0077916 (2002-06-01), Greene
patent: 2003/0149938 (2003-08-01), McElfresh et al.
patent: 2004/0059708 (2004-03-01), Dean et al.
patent: 2006/0106783 (2006-05-01), Saffer et al.
Bartell-B-T and Cottrell-G-W and Belew-R-K. “Representing Documents Using an Explicit Model of their Similarities” J of the American Society for Information Science. May 1995.
Bullinaria-J-A and Huckle-C-C. “Modelling Lexical Decision Using Corpus Derived Semantic Representations in a Connectionsit Network” Proc of the 4th Neural Computation and Psychology Workshop. 1997.
Lewis-D-D. “Text Representation for Intelligent Text Retrieval: A Classification-Oriented View” 1992.
Liu-G-Z. “Semantic Vector Space Model: Implementation and Evaluation” J of the American Society for Information Science. May 1997.
Liu-G-Z. “The Semantic Vector Space Model (SVSM): A Text Representation and Searching Technique” IEEE 1994.
Patel-M. “Extracting Semantic Representations from Large Text Corpora” Proc of the 4th Neural Computation and Psychology Workshop. 1997.
Wermter, Stefan, et. al. “Recurrent Neural Network Learning for Text Routing”, Artificial Neural Networks, Sep. 7-10, 1999, Conference Publication No. 470, pp. 898-903, Sunderland, UK.
Keinosuke Fukunaga et al., “A Criterion and an Algorithm for Grouping Data”, IEEE Transactions on Computers, vol. C-19, No. 10, Oct. 1970, pp. 917-923.
B.D. Ripley, “Neural Networks and Related Methods for Classification”, J. R. Statist. Soc. B (1994), 56, No. 3, pp. 409-456.
Chidanand Apte and Fred Damerau, “Automated Learning of Decision Rules for Text Categorization”,ACM Transactions on Information Systems, vol. 12, No. 3, Jul. 1994, pp. 233-251.
Elizabeth D. Liddy, Woojin Paik, Edmund S. Yu, “Text Categorization for Multiple Users Based on Semantic Features from a Machine-Readable Dictionary”,ACM transactions on information systems, vol. 12. No. 3, Jul. 1994, pp. 278-295.
Randy Calistri-Yeh, Bo Yuan, “The MAPIT Patent-TSV System”, Version 2.7, Jan. 11, 2000, pp. 1-77.
Stefan Wernter, Garen Arevian and Christo Panchev, “Recurrent Neural Network Learning for Text Routing”, Artifical Neural Networks, Sep. 7-10, 1999, Conference Publication No. 470, pp. 898-903, Sunderland, UK.
Calistri-Yeh Randall J.
Osborne George B.
Snyder David L.
Yuan Bo
Buss Benjamin
Manning & Napier Information Services, LLC.
McDermott Will & Emery LLP
Vincent David
LandOfFree
Construction of trainable semantic vectors and clustering,... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Construction of trainable semantic vectors and clustering,..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Construction of trainable semantic vectors and clustering,... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-3971313