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公开(公告)号：US11604928B2
公开(公告)日：2023-03-14
申请号：US16862945
申请日：2020-04-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Rebecca R. James , Lalit Agarwalla , Shane M. Kilmon , Andrew R. Freed , Leo Mazzoli
Abstract: A dialog change service builds a directed graph of nodes, each described by code for a conversational agent stored in source control, the code comprising one or more dialog-based features. The dialog change service, responsive to receiving a request for a dialog change to a particular node of the conversational agent, evaluates the directed graph to identify an additional selection of nodes that require a similar changes as the dialog change based on textual and structural content. The dialog change service updates the code for the particular node and the additional selection of nodes to propagate the dialog change in the conversational agent stored in source control.
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2.发明申请公开(公告)号：US20170154103A1
公开(公告)日：2017-06-01
申请号：US15162689
申请日：2016-05-24
Applicant: International Business Machines Corporation
Inventor： Lalit Agarwalla , Ankur Parikh , Avinesh Polisetty Venkata Sai
IPC: G06F17/30
CPC classification number: G06F16/24578 , G06F16/3344 , G06F16/3346 , G06F16/353
Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.
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公开(公告)号：US12197846B2
公开(公告)日：2025-01-14
申请号：US16688084
申请日：2019-11-19
Applicant: International Business Machines Corporation
Inventor： Lalit Agarwalla , Gandhi Sivakumar , Maharaj Mukherjee , Rashida A. Hodge
IPC: G06F17/00 , G06F18/21 , G06F18/214 , G06F40/151 , G06F40/169 , G06F40/56 , G06N20/00
Abstract: Provided is a method, a computer program product, and a system for associating mathematical functions to numerical text in a natural language sample. The method includes inputting a natural language sample from a text dataset and identifying a numerical text within the natural language sample. The method further includes displaying a mathematical function corresponding to the numerical text to be selected. The mathematical function can be selected via graphical user interface displayed on a computing device. The method also includes receiving and inserting the mathematical function as a feature into a feature vector of the natural language sample and selecting an output label for the natural language sample. The output label relates to the mathematical function selected for the numerical text. The method further includes exporting the natural language sample into a labeled dataset which can be used to train a machine learning model.
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4.发明授权公开(公告)号：US11281680B2
公开(公告)日：2022-03-22
申请号：US16544240
申请日：2019-08-19
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Lalit Agarwalla , Ankur Parikh , Avinesh Polisetty Venkata Sai
IPC: G06F16/2457 , G06F16/35 , G06F16/33
Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.
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公开(公告)号：US10789552B2
公开(公告)日：2020-09-29
申请号：US16534370
申请日：2019-08-07
Applicant: International Business Machines Corporation
Inventor： Lalit Agarwalla , Ashish Mungi , Joy Mustafi , Ankur Parikh
IPC: G06N20/00 , G09B7/06 , G06F16/9032 , G06F40/30
Abstract: Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.
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Patent Agency Ranking
公开(公告)号：US20190362265A1
公开(公告)日：2019-11-28
申请号：US16534370
申请日：2019-08-07
Applicant: International Business Machines Corporation
Inventor： Lalit Agarwalla , Ashish Mungi , Joy Mustafi , Ankur Parikh
IPC: G06N20/00 , G06F16/9032 , G09B7/06 , G06F17/27
Abstract: Generating distractors for text-based MCT items. An MCT item stem is received. The stem is transmitted to a QA system and a plurality of candidate answers related to the stem is received from the QA system. Incorrect answers in the plurality of candidate answers are identified. Textual features are extracted from the stem. A set of semantic criteria associated with the extracted textual features is generated. Based on the generated semantic criteria, a subset of the incorrect candidate answers is selected.
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公开(公告)号：US20190019507A1
公开(公告)日：2019-01-17
申请号：US15843373
申请日：2017-12-15
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Faried Abrahams , Lalit Agarwalla , Gandhi Sivakumar
Abstract: Multi-turn conversation systems that are personalized to a user based on insights derived from big data are described. A method includes: receiving, by a computer device, input from a user; obtaining, by the computer device, insights about the user; generating, by the computer device, a response based on the insights and the input; and outputting, by the computer device, the response.
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公开(公告)号：US20220353210A1
公开(公告)日：2022-11-03
申请号：US17244846
申请日：2021-04-29
Applicant: International Business Machines Corporation
Inventor： Andrew R. Freed , Lalit Agarwalla
Abstract: Altering an automated conversation system by receiving automatic conversation log data, generating a decision tree from the data, summarizing child node data for a node of the decision tree, generating node response variations according to the child node data of the node, and altering the automatic conversation according to the node response variations.
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公开(公告)号：US10565444B2
公开(公告)日：2020-02-18
申请号：US15698212
申请日：2017-09-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Lalit Agarwalla , Rizwan Dudekula , Purushothaman K. Narayanan , Sujoy Sett
Abstract: A method, computer system, and a computer program product for identifying sections in a document based on a plurality of visual features is provided. The present invention may include receiving a plurality of documents. The present invention may also include extracting a plurality of content blocks. The present invention may further include determining the plurality of visual features. The present invention may then include grouping the extracted plurality of content blocks into a plurality of categories. The present invention may also include generating a plurality of closeness scores for the plurality of categories by utilizing a Visual Similarity Measure. The present invention may further include generating a plurality of Association Matrices on the plurality of categories for each of the received plurality of documents based on the Visual Similarity Measure. The present invention may further include merging the plurality of categories into a plurality of clusters.
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10.发明授权公开(公告)号：US10387434B2
公开(公告)日：2019-08-20
申请号：US15162689
申请日：2016-05-24
Applicant: International Business Machines Corporation
Inventor： Lalit Agarwalla , Ankur Parikh , Avinesh Polisetty Venkata Sai
IPC: G06F16/00 , G06F16/2457 , G06F16/35 , G06F16/33
Abstract: Scoring candidate evidence passages for criteria validation. Evidence data associated with a criteria, such that the evidence data entries include a decision indicator indicating that the criteria is either met or not met by the evidence data, is collected. Candidate evidences, making up a corpus of data associated with the criteria, against which the criteria is to be validated, are generated. Each candidate evidence is evaluated against the evidence data. A score indicating the validity of the criteria with respect to the candidate evidence is generated, based on the decision indicators associated with the evidence data entries.
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