Patents by Inventor Indrajit Bhattacharya

Indrajit Bhattacharya has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20120124044
    Abstract: Systems and associated methods for enhanced concept understanding in large document collections through phrase clustering are described. Embodiments take as input an initial set of phrases and estimate centroids using a clustering process. Embodiments then generate new phrases around each of the current centroids using the current phrases. These new phrases are added to the current set, and the clustering process is iterated. Upon convergence, embodiments finalize clusters based on phrases of any given length.
    Type: Application
    Filed: November 16, 2010
    Publication date: May 17, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Indrajit Bhattacharya, Shantanu Ravindra Godbole, Akshit Sharma
  • Publication number: 20120072421
    Abstract: Systems and associated methods provide a cluster-level semi-supervision model for inter-active clustering. Embodiments accept user provided semi-supervision for updating cluster descriptions and assignment of data items to clusters. Assignment feedback re-assigns data items among existing clusters, while cluster description feedback helps to position existing cluster centers more meaningfully. The feedback can continue until the user is satisfied with the clustering achieved or one or more predetermined stopping criteria have been reached.
    Type: Application
    Filed: September 16, 2010
    Publication date: March 22, 2012
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Indrajit Bhattacharya, Kumar Avinava Dubey, Shantanu Ravindra Godbole
  • Publication number: 20110251839
    Abstract: Determining synonyms of words in a set of documents. Particularly, when provided with a word or phrase as input, in exemplary embodiments there is afforded the return of a predetermined number of “top” synonym words (or phrases) for an input word (or phrase) in a specific collection of text documents. Further, a user is able to provide ongoing and iterative positive or negative feedback on the returned synonym words, by manually accepting or rejecting such words as the process is underway.
    Type: Application
    Filed: April 9, 2010
    Publication date: October 13, 2011
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Jeffrey M. Achtermann, Indrajit Bhattacharya, Kevin W. English, Shantanu Godbole, Ajay K. Gupta, Ashish Verma
  • Publication number: 20110167064
    Abstract: A system and associated method for evaluating cross-domain clusterability upon a target domain and a source domain. The cross-domain clusterability is calculated as a linear combination of a target clusterability and a source-target pair matchability, by use of a trade-off parameter that determines relative contribution of the target clusterability and the source-target pair matchability. The target clusterability quantifies how clusterable the target domain is. The source-target pair matchability is calculated as an average of a target-side matchability and a source-side matchability, which quantifies how well target centroids of the target domain are aligned with the source centroids and how well source centroids of the source domain are aligned with the target centroids, respectively.
    Type: Application
    Filed: January 6, 2010
    Publication date: July 7, 2011
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JEFFREY M. ACHTERMANN, INDRAJIT BHATTACHARYA, KEVIN W. ENGLISH, Jr., SHANTANU R. GODBOLE, SACHINDRA JOSHI, ASHWIN SRINIVASAN, ASHISH VERMA
  • Publication number: 20110166850
    Abstract: A system and associated method for cross-guided data clustering by aligning target clusters in a target domain to source clusters in a source domain. The cross-guided clustering process takes the target domain and the source domain as inputs. A common word attribute shared by both the target domain and the source domain is a pivot vocabulary, and all other words in both domains are a non-pivot vocabulary. The non-pivot vocabulary is projected onto the pivot vocabulary to improve measurement of similarity between data items. Source centroids representing clusters in the source domain are created and projected to the pivot vocabulary. Target centroids representing clusters in the target domain are initially created by conventional clustering method and then repetitively aligned to converge with the source centroids by use of a cross-domain similarity graph that measures a respective similarity of each target centroid to each source centroid.
    Type: Application
    Filed: January 6, 2010
    Publication date: July 7, 2011
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: JEFFREY M. ACHTERMANN, INDRAJIT BHATTACHARYA, KEVIN W. ENGLISH, JR., SHANTANU R. GODBOLE, SACHINDRA JOSHI, ASHWIN SRINIVASAN, ASHISH VERMA
  • Publication number: 20100332424
    Abstract: Techniques for identifying one or more inconsistencies between an unstructured document and a back-end fact-base are provided. The techniques include automatically parsing a query document and comparing the document with a back-end fact-base comprising facts relevant to the document, identifying one or more inconsistencies between information mentioned in the document and the facts stored in the back-end fact-base, and providing a response to the query document, wherein the response additionally includes the one or more identified inconsistencies.
    Type: Application
    Filed: June 30, 2009
    Publication date: December 30, 2010
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Indrajit Bhattacharya, Tanveer A. Faruquie, Shantanu Godbole, Mukesh K. Mohania, Ullas B. Nambiar
  • Publication number: 20050080152
    Abstract: The invention concerns radiation curable liquid pigmented ink composition, wherein ticyclodecyl di(meth)acrylate and/or tricyclodecyl mono(meth)acrylate are particularly good wetting agent. The compositions are used in inkjet inks, gravure inks and flexographic inks.
    Type: Application
    Filed: December 19, 2002
    Publication date: April 14, 2005
    Inventors: Francis Bergiers, Indrajit Bhattacharya, Luc Lindekens, Stefan Van Den Branden