Adding prototype information into probabilistic models

Details Adding prototype information into probabilistic models Adding prototype information into probabilistic models

2011-08-30

2011-08-30

Sked, Matthew J (Department: 2626)

Data processing: speech signal processing, linguistics, language

Linguistics

Natural language

C704S001000, C704S244000, C704S256100, C704S256200, C706S012000, C706S014000

Reexamination Certificate

active

08010341

ABSTRACT:
Mechanisms are disclosed for incorporating prototype information into probabilistic models for automated information processing, mining, and knowledge discovery. Examples of these models include Hidden Markov Models (HMMs), Latent Dirichlet Allocation (LDA) models, and the like. The prototype information injects prior knowledge to such models, thereby rendering them more accurate, effective, and efficient. For instance, in the context of automated word labeling, additional knowledge is encoded into the models by providing a small set of prototypical words for each possible label. The net result is that words in a given corpus are labeled and are therefore in condition to be summarized, identified, classified, clustered, and the like.

REFERENCES:
patent: 5031217 (1991-07-01), Nishimura
patent: 5046099 (1991-09-01), Nishimura
patent: 5072452 (1991-12-01), Brown et al.
patent: 6023673 (2000-02-01), Bakis et al.
patent: 6999925 (2006-02-01), Fischer et al.
patent: 7127394 (2006-10-01), Strong
patent: 7308404 (2007-12-01), Venkataraman et al.
patent: 7827032 (2010-11-01), Braho et al.
patent: 2003/0212544 (2003-11-01), Acero et al.
patent: 2004/0210434 (2004-10-01), Wang et al.
patent: 2005/0182628 (2005-08-01), Choi
patent: 2006/0015326 (2006-01-01), Mori et al.
patent: 2006/0053015 (2006-03-01), Lai et al.
patent: 2006/0277028 (2006-12-01), Chen et al.
patent: 2009/0055183 (2009-02-01), Yakhnenko et al.
patent: 0321410 (1993-02-01), None
Basu, S. et al., “A Probabilistic Framework for Semi-Supervised Clustering,”KDD, 2004, 59-68.
Newman, D. et al., “Analyzing Entities and Topics in New Articles Using Statistical Topic Models,” 2006,LNCS 2975, 93-104.
Strzarlkowski, T. et al., “Natural Language Information Retrieval: Trec-5 Report,” 1998, 21 pages.
Xing, E., “Profile Hidden Markov Dirichlet-Multinomial Models for Motif Families,”Computer Science Division, 2003, 1-13.

Affiliated with

Also associated with

Rating

Adding prototype information into probabilistic models does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Adding prototype information into probabilistic models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Adding prototype information into probabilistic models will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2652968