Patents by Inventor Biplav Srivastava

Biplav Srivastava 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: 20190278792
    Abstract: Embodiments of the present invention provide a system for implementing multi-turn dialogs. The system performs a method that includes receiving a series of user utterances, generating a series of responsive system utterances, and labeling the series of responsive system utterances to generate training data for training a dialog management policy. The labeling includes executing a reward function at each turn of a dialog, in which for each turn of the dialog the reward function is configured to output a reward value that is based at least in part on an accuracy of the responsive system utterance of the turn and on number of dialog turns elapsed.
    Type: Application
    Filed: May 24, 2019
    Publication date: September 12, 2019
    Inventors: Murray S. Campbell, MIAO LIU, Biplav SRIVASTAVA
  • Patent number: 10410385
    Abstract: Methods, systems and computer program products for generating hypergraph representations of dialog are provided herein. A computer-implemented method includes analyzing at least one dialog to identify one or more topics and one or more contributions by one or more persons to the one or more topics, tracking evolution of the identified topics over time in the at least one dialog, generating a hypergraph representation of the at least one dialog utilizing the identified topics, the identified contributions and the tracked evolution of the identified topics, and providing an interactive visualization tool based on the hypergraph representation of the at least one dialog.
    Type: Grant
    Filed: February 19, 2016
    Date of Patent: September 10, 2019
    Assignee: International Business Machines Corporation
    Inventors: Prithu Banerjee, Manikandan Padmanaban, Biplav Srivastava, Srikanth G. Tamilselvam
  • Patent number: 10387463
    Abstract: Embodiments of the present invention provide a system for implementing multi-turn dialogs. The system performs a method that includes receiving a series of user utterances, generating a series of responsive system utterances, and labeling the series of responsive system utterances to generate training data for training a dialog management policy. The labeling includes executing a reward function at each turn of a dialog, in which for each turn of the dialog the reward function is configured to output a reward value that is based at least in part on an accuracy of the responsive system utterance of the turn and on number of dialog turns elapsed.
    Type: Grant
    Filed: July 6, 2017
    Date of Patent: August 20, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Murray S. Campbell, Miao Liu, Biplav Srivastava
  • Patent number: 10387564
    Abstract: Methods and arrangements for document quality assessment. Documents are accepted and a quality specification containing predetermined quality criteria is assimilated. Each document is assessed based on the predetermined quality criteria, and a quality score is assigned to each document, the quality score being a function of positive and negative attributes assessed for each document.
    Type: Grant
    Filed: November 12, 2010
    Date of Patent: August 20, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Rema Ananthanarayanan, Biplav Srivastava
  • Publication number: 20190188551
    Abstract: Techniques facilitating estimating and visualizing entity to agent collaboration to facilitate automated plan generation are provided. In one example, a computer-implemented method comprises generating, by a device operatively coupled to a processor, a plan based on receiving first input data associated with an instance model. The computer-implemented method also comprises generating, by the device, a revised plan based on receiving second input data, associated with a revised instance model, from an entity. Furthermore, the computer-implemented method comprises, tracking, by the device, a contribution of the entity as a function of a modification from the instance model to the revised instance model.
    Type: Application
    Filed: December 15, 2017
    Publication date: June 20, 2019
    Inventors: Michael Katz, Biplav Srivastava
  • Patent number: 10296833
    Abstract: Methods and arrangements for forecasting at least one attribute of a future event based on a repository of historical event data associated with historical events comparable to the future event. A plurality of event data points are obtained from the repository of historical event data. The plurality of event data points are grouped in accordance with at least one category and a plurality of subcategories to create at least one data tree. Certain of the grouped event data points are designated to form a set of candidate data attributes, and the designated set of candidate data attributes are compared to a set of data attributes from the at least one data tree associated with the future event. Based on the comparing, there is identified a data attribute missing from the set of data attributes from the at least one data tree associated with the future event, and a value for the missing data attribute is forecast. Other variants and embodiments are broadly contemplated herein.
    Type: Grant
    Filed: September 4, 2015
    Date of Patent: May 21, 2019
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Prithu Banerjee, Biplav Srivastava, Srikanth Govindaraj Tamilselvam
  • Publication number: 20190012371
    Abstract: Embodiments of the present invention provide a system for implementing multi-turn dialogs. The system performs a method that includes receiving a series of user utterances, generating a series of responsive system utterances, and labeling the series of responsive system utterances to generate training data for training a dialog management policy. The labeling includes executing a reward function at each turn of a dialog, in which for each turn of the dialog the reward function is configured to output a reward value that is based at least in part on an accuracy of the responsive system utterance of the turn and on number of dialog turns elapsed.
    Type: Application
    Filed: July 6, 2017
    Publication date: January 10, 2019
    Inventors: Murray S. Campbell, Miao Liu, Biplav Srivastava
  • Publication number: 20180365213
    Abstract: A dialogue complexity assessment method, system, and computer program product for introducing the notion of dialogue complexity to understand and compare dialogues in a repository, calculating the dialogue complexity, use the dialogue complexity to understand customer interactions in a variety of domains using public and proprietary data, and demonstrate the dialogue complexity usage to improve a service management operation.
    Type: Application
    Filed: July 30, 2018
    Publication date: December 20, 2018
    Inventors: Biplav Srivastava, Qingzi Vera Liao, Pavan Kapanipathi Bangalore
  • Publication number: 20180314685
    Abstract: A dialogue complexity assessment method, system, and computer program product for introducing the notion of dialogue complexity to understand and compare dialogues in a repository, calculating the dialogue complexity, use the dialogue complexity to understand customer interactions in a variety of domains using public and proprietary data, and demonstrate the dialogue complexity usage to improve a service management operation.
    Type: Application
    Filed: April 28, 2017
    Publication date: November 1, 2018
    Inventors: Biplav Srivastava, Qingzi Vera Liao, Pavan Kapanipathi Bangalore
  • Patent number: 10114816
    Abstract: A dialogue complexity assessment method, system, and computer program product for introducing the notion of dialogue complexity to understand and compare dialogues in a repository, calculating the dialogue complexity, use the dialogue complexity to understand customer interactions in a variety of domains using public and proprietary data, and demonstrate the dialogue complexity usage to improve a service management operation.
    Type: Grant
    Filed: April 28, 2017
    Date of Patent: October 30, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Biplav Srivastava, Qingzi Vera Liao, Pavan Kapanipathi Bangalore
  • Publication number: 20180285770
    Abstract: Embodiments for learning personalized actionable domain models by a processor. A domain model may be generated according to a plurality of actions, extracted from one or more online data sources, of a plurality of cluster representatives. The plurality of actions achieve a goal. A hierarchical action model may be generated based on probabilities of the domain model and the plurality of actions. The hierarchical action model comprises a sequence of actions of the plurality of actions for achieving the goal. The hierarchical action model may be personalized by filtering to a selected set of actions according to weighted actions of the plurality of actions.
    Type: Application
    Filed: March 31, 2017
    Publication date: October 4, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Lydia MANIKONDA, Shirin SOHRABI ARAGHI, Biplav SRIVASTAVA, Kartik TALAMADUPULA
  • Patent number: 10089390
    Abstract: Systems and associated methods for automated and semi-automated building of domain models for documents are described. Embodiments provide an approach to discover an information model by mining documentation about a particular domain captured in the documents. Embodiments classify the documents into one or more types corresponding to concepts using indicative words, identify candidate model elements (concepts) for document types, identify relationships both within and across document types, and consolidate and learn a global model for the domain.
    Type: Grant
    Filed: September 24, 2010
    Date of Patent: October 2, 2018
    Assignee: International Business Machines Corporation
    Inventors: Rema Ananthanarayanan, Anuradha Bhamidipaty, Krishna Kummamuru, Debdoot Mukherjee, Deepak S. Padmanabhan, Vibha Singhal Sinha, Biplav Srivastava
  • Publication number: 20180254967
    Abstract: A personal digital assistant device includes: a memory storing an interactive personal digital assistant program and a processor configured to execute the interactive personal digital assistant program. The interactive personal digital assistant program performs an operation to determine whether the service provider is automated or is not automated. The interactive personal digital assistant program is configured to issue a command to the service provider on behalf of a user of the device, when it is determined that the service provider is automated. The interactive personal digital assistant program is configured to issue an alert on the device when it is determined that the service provider is not automated. The interactive personal digital assistant program may continue until the goal of the interaction is met or human help is sought.
    Type: Application
    Filed: March 6, 2017
    Publication date: September 6, 2018
    Inventors: BIPLAV SRIVASTAVA, KARTIK TALAMADUPULA
  • Publication number: 20180247528
    Abstract: A dynamic road stretch dividing method, system, and computer program product, include determining a current lane distribution of partitions of a road stretch, calculating a new lane distribution of the road stretch to ameliorate traffic based on a pragmatic factor, and changing an alignment of the partitions of the current lane distribution to obtain the new lane distribution.
    Type: Application
    Filed: February 27, 2017
    Publication date: August 30, 2018
    Inventors: Kuntal Dey, Rakesh Rameshrao Pimplikar, Sudhanshu Shekhar Singh, Biplav Srivastava
  • Publication number: 20180218272
    Abstract: Techniques for autonomously generating a domain model and/or an action model based on unstructured data are provided. In one example, a computer implemented method can comprise extracting, by a system operatively coupled to a processor, a plurality of actions from a non-numerical language. The plurality of actions can achieve a goal. The computer-implemented method can also comprise generating, by the system, a domain model based on the plurality of actions. Further, the computer-implemented method can comprise generating, by the system, an action model based on the domain model. In various embodiments, the action model can comprise an action transition for accomplishing the goal.
    Type: Application
    Filed: December 13, 2017
    Publication date: August 2, 2018
    Inventors: Lydia Manikonda, Anton Viktorovich Riabov, Shirin Sohrabi Araghi, Biplav Srivastava, Kartik Talamadupula, Deepak Srinivas Turaga
  • Publication number: 20180218270
    Abstract: Techniques for autonomously generating a domain model and/or an action model based on unstructured data are provided. In one example, a computer implemented method can comprise extracting, by a system operatively coupled to a processor, a plurality of actions from a non-numerical language. The plurality of actions can achieve a goal. The computer-implemented method can also comprise generating, by the system, a domain model based on the plurality of actions. Further, the computer-implemented method can comprise generating, by the system, an action model based on the domain model. In various embodiments, the action model can comprise an action transition for accomplishing the goal.
    Type: Application
    Filed: January 31, 2017
    Publication date: August 2, 2018
    Inventors: Lydia Manikonda, Anton Viktorovich Riabov, Shirin Sohrabi Araghi, Biplav Srivastava, Kartik Talamadupula, Deepak Srinivas Turaga
  • Patent number: 9995588
    Abstract: Methods and arrangements for identifying at least one anomaly in a path taken by a plurality of objects. A plurality of trajectories are input, wherein each trajectory comprises a data set indicative of a path taken by a plurality of objects from a starting point to an ending point, wherein the starting point and ending point are substantially similar for each trajectory. A plurality of sub-trajectories within the input trajectories are identified. There are identified, within the plurality of sub-trajectories, a set of sub-trajectories that are anomalous when compared to other sub-trajectories within the plurality of sub-trajectories, wherein the anomalous sub-trajectories deviate from a predetermined standard. A maximal anomalous sub-trajectory is identified from among the identified set of anomalous sub-trajectories. Other variants and embodiments are broadly contemplated herein.
    Type: Grant
    Filed: June 23, 2015
    Date of Patent: June 12, 2018
    Assignee: International Business Machines Corporation
    Inventors: Prithu Banerjee, Biplav Srivastava, Srikanth Govindaraj Tamilselvam
  • Publication number: 20170243382
    Abstract: Methods, systems and computer program products for generating hypergraph representations of dialog are provided herein. A computer-implemented method includes analyzing at least one dialog to identify one or more topics and one or more contributions by one or more persons to the one or more topics, tracking evolution of the identified topics over time in the at least one dialog, generating a hypergraph representation of the at least one dialog utilizing the identified topics, the identified contributions and the tracked evolution of the identified topics, and providing an interactive visualization tool based on the hypergraph representation of the at least one dialog.
    Type: Application
    Filed: February 19, 2016
    Publication date: August 24, 2017
    Inventors: Prithu Banerjee, Manikandan Padmanaban, Biplav Srivastava, Srikanth G. Tamilselvam
  • Patent number: 9715545
    Abstract: An embodiment of the invention comprises a method associated with a Web API ecosystem and API users includes identifying specified events over a period of time that respectively affect the ecosystem. Events can comprise an interaction between the ecosystem and a Web API user or a specified Web API. The embodiment further includes constructing a data structure that contains a data element representing each identified event. An interface is used to translate respective data elements between the data structure and a data store, wherein the data store represents translated data elements in a form different from that used to represent the data elements in the data structure.
    Type: Grant
    Filed: June 12, 2014
    Date of Patent: July 25, 2017
    Assignee: International Business Machines Corporation
    Inventors: Jim A. Laredo, Vinod Muthusamy, Aleksander A. Slominski, Biplav Srivastava, Maja Vukovic, John E. Q. Wittern
  • Publication number: 20170103400
    Abstract: Methods and arrangements for a method of monitoring a ticket resolution process, said method including: utilizing at least one processor to execute computer code that performs the steps of: detecting, at a device, a ticket resolution initiation; capturing, based on the detection, user activity; identifying at least one work activity within the captured user activity; and storing, in a storage device, the at least one work activity. Other variants and embodiments are broadly contemplated herein.
    Type: Application
    Filed: October 13, 2015
    Publication date: April 13, 2017
    Inventors: Vikas Agarwal, Biplav Srivastava, Srikanth Govindaraj Tamilselvam