Patents by Inventor Vishwajeet Kumar

Vishwajeet Kumar 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).

  • Patent number: 12210538
    Abstract: Techniques for enhanced table and text question answering based on multi-instance, multi-answer training are presented. An answer extractor component can determine answer scores associated with candidate answer data items based on analysis of a set of data, comprising row data items of a table and passage data items associated with the table, and a context of a query of the set of data. The answer extractor component can be trained based on application of denoised single-instance and multiple-instance answer matching data associated with contexts to an answer extractor model to generate a trained answer extractor model of the answer extractor component. A query response component can determine a correct answer data item responsive to the query from the candidate answer data items based on the answer scores associated with the candidate answer data items, wherein the candidate answer data items can be reranked based on reweighted answer scores.
    Type: Grant
    Filed: November 8, 2022
    Date of Patent: January 28, 2025
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Vishwajeet Kumar, Saneem Ahmed Chemmengath, Jaydeep Sen
  • Patent number: 12182508
    Abstract: A question answering bot that digests non-relational data tables is provided. A processor receives a question regarding a non-relational data table. A processor extracts at least one feature of the question using a natural language processing (NLP) model. A processor extracts at least one similar feature of the non-relational data table to the extracted at least one feature of the question. A processor determines at least one relevant cell in the non-relational data table based on the at least one feature of the question and the at least one similar feature of the non-relational data table. A processor provides an answer to the question, where the answer is based on the at least one relevant cell.
    Type: Grant
    Filed: March 25, 2022
    Date of Patent: December 31, 2024
    Assignee: International Business Machines Corporation
    Inventors: Vishwajeet Kumar, Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Ioannis Katsis, Mustafa Canim
  • Publication number: 20240386218
    Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to building a unified question generation system across languages and modalities. The computer-implemented system can comprise a memory that can store computer executable components. The computer-implemented system can further comprise a processor that can execute the computer executable components stored in the memory, wherein the computer executable components can comprise a training component that can train a unified question generation model to generate questions in a language from a first modality in the language using training data comprising one or more second modalities in the language different from the first modality, wherein the first modality and the one or more second modalities can include at least one of one or more tables, one or more passages, or a combination of the one or more tables and the one or more passages.
    Type: Application
    Filed: May 15, 2023
    Publication date: November 21, 2024
    Inventors: Vishwajeet Kumar, Jaydeep Sen, Saneem Ahmed Chemmengath, Rudra V Murthy
  • Publication number: 20240370471
    Abstract: Retrieval aware natural language question generation for open domain document retrieval is provided. In one aspect, a system for retrieval aware question generation includes: a question decontextualizer configured to decontextualize a question generated from a context of a target document by adding terms from the context into the question itself to create a decontextualized question, where the decontextualized question alone enables open domain document retrieval without a need for also providing the context. The system can also include a detect document identifier configured to find the terms in the context; and a retriever configured to retrieve documents from the corpus of documents using the decontextualized question. A method for retrieval aware question generation using the present system is also provided.
    Type: Application
    Filed: May 5, 2023
    Publication date: November 7, 2024
    Inventors: Saneem Ahmed Chemmengath, Vishwajeet Kumar, Jaydeep Sen
  • Publication number: 20240330723
    Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate a Question Generation System. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise a receiving component that receives a corpus of documents that contain Tables (Ts) and Passages (Ps) for performing natural language processing (NLP); an executing component that executes the NLP by employing the tables (sT) and passages (Ps) as primary inputs; and a query component that generates an output Question (Q) based on a subset of the tables Ts and passages (Ps).
    Type: Application
    Filed: March 31, 2023
    Publication date: October 3, 2024
    Inventors: Saneem Ahmed Chemmengath, Vishwajeet Kumar, Jaydeep Sen, Rudra V Murthy
  • Patent number: 12050877
    Abstract: Methods, systems, and computer program products for providing a contextual dialogue framework over dynamic tables are provided herein. A computer-implemented method includes maintaining a context space for a natural language conversation of a user, wherein the context space comprises a dynamic set of one or more tables used for processing at least one query of the natural language conversation; obtaining an additional table associated with an additional query of the natural language conversation; discovering one or more implicit links between the additional table and the dynamic set of tables; updating the context space with the one or more implicit links; and answering the additional query based at least in part on the updated context space.
    Type: Grant
    Filed: December 6, 2021
    Date of Patent: July 30, 2024
    Assignee: International Business Machines Corporation
    Inventors: Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Vishwajeet Kumar
  • Publication number: 20240160634
    Abstract: Techniques for enhanced table and text question answering based on multi-instance, multi-answer training are presented. An answer extractor component can determine answer scores associated with candidate answer data items based on analysis of a set of data, comprising row data items of a table and passage data items associated with the table, and a context of a query of the set of data. The answer extractor component can be trained based on application of denoised single-instance and multiple-instance answer matching data associated with contexts to an answer extractor model to generate a trained answer extractor model of the answer extractor component. A query response component can determine a correct answer data item responsive to the query from the candidate answer data items based on the answer scores associated with the candidate answer data items, wherein the candidate answer data items can be reranked based on reweighted answer scores.
    Type: Application
    Filed: November 8, 2022
    Publication date: May 16, 2024
    Inventors: Vishwajeet Kumar, Saneem Ahmed Chemmengath, Jaydeep Sen
  • Publication number: 20230306199
    Abstract: A question answering bot that digests non-relational data tables is provided. A processor receives a question regarding a non-relational data table. A processor extracts at least one feature of the question using a natural language processing (NLP) model. A processor extracts at least one similar feature of the non-relational data table to the extracted at least one feature of the question. A processor determines at least one relevant cell in the non-relational data table based on the at least one feature of the question and the at least one similar feature of the non-relational data table. A processor provides an answer to the question, where the answer is based on the at least one relevant cell.
    Type: Application
    Filed: March 25, 2022
    Publication date: September 28, 2023
    Inventors: Vishwajeet Kumar, Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Ioannis Katsis, Mustafa Canim
  • Publication number: 20230267343
    Abstract: Methods, systems, and computer program products for automated code-mixed natural language processing for artificial intelligence-based question answering techniques are provided herein. A computer-implemented method includes detecting multiple languages in an input query to an artificial intelligence-based question answering system; determining, in the input query, one or more partial query signals associated with each of the multiple languages; identifying one or more missing entity arguments from at least a portion of the one or more partial query signals; updating at least a portion of the one or more missing entity arguments by inferring data from at least a portion of the one or more partial query signals using at least one artificial intelligence technique; and performing one or more automated actions based at least in part on the updating of at least a portion of the one or more missing entity arguments.
    Type: Application
    Filed: February 23, 2022
    Publication date: August 24, 2023
    Inventors: Tarun Tater, Jaydeep Sen, Rudra Murthy Venkataramana, Vishwajeet Kumar
  • Publication number: 20230186147
    Abstract: Methods, systems, and computer program products for automated few-shot learning techniques for artificial intelligence-based query answering systems are provided herein. A computer-implemented method includes obtaining multiple sets of queries and answers associated with one or more tables; determining a level of complexity attributed to at least a portion of the queries from the multiple sets of queries and answers; determining, based at least in part on the determined level of complexity attributed to the at least a portion of the queries, one or more new queries for use in training at least one artificial intelligence-based query answering system; facilitating annotation of the one or more new queries; training the at least one artificial intelligence-based query answering system using at least a portion of the one or more annotated new queries; and performing at least one automated action using the at least one trained artificial intelligence-based query answering system.
    Type: Application
    Filed: December 13, 2021
    Publication date: June 15, 2023
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj
  • Publication number: 20230177277
    Abstract: Methods, systems, and computer program products for providing a contextual dialogue framework over dynamic tables are provided herein. A computer-implemented method includes maintaining a context space for a natural language conversation of a user, wherein the context space comprises a dynamic set of one or more tables used for processing at least one query of the natural language conversation; obtaining an additional table associated with an additional query of the natural language conversation; discovering one or more implicit links between the additional table and the dynamic set of tables; updating the context space with the one or more implicit links; and answering the additional query based at least in part on the updated context space.
    Type: Application
    Filed: December 6, 2021
    Publication date: June 8, 2023
    Inventors: Jaydeep Sen, Samarth Bharadwaj, Saneem Ahmed Chemmengath, Vishwajeet Kumar
  • Publication number: 20230169363
    Abstract: Methods, systems, and computer program products for automatically generating factsheets for artificial intelligence-based question answering systems are provided herein.
    Type: Application
    Filed: November 30, 2021
    Publication date: June 1, 2023
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Vishwajeet Kumar, Samarth Bharadwaj
  • Publication number: 20220309107
    Abstract: Methods, systems, and computer program products for self-supervision in table question answering are provided herein. A computer-implemented method includes obtaining a table comprising a plurality of entries, wherein each entry corresponds to a particular column and particular row of the table; identifying one or more of the entries in the table that correspond to a target answer of a natural language query; generating an intermediate representation of the table comprising the rows corresponding to the identified one or more entries, wherein the intermediate representation masks each of the identified one or more entries; and generating a set of natural language question and answer pairs based on the intermediate representation.
    Type: Application
    Filed: March 29, 2021
    Publication date: September 29, 2022
    Inventors: Jaydeep Sen, Saneem Ahmed Chemmengath, Samarth Bharadwaj, Vishwajeet Kumar, Mustafa Canim