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1.发明公开公开(公告)号：US20230401203A1
公开(公告)日：2023-12-14
申请号：US17804143
申请日：2022-05-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： YAZAN OBEIDI , Jaydeep Sen , Tarun Tater , Vatche Isahagian , Vinod Muthusamy
IPC: G06F16/242 , G06F16/248 , G06F40/30 , G06N5/04
CPC classification number: G06F16/243 , G06N5/04 , G06F40/30 , G06F16/248
Abstract: An embodiment including a domain-agnostic natural language processing system for processing natural language queries having an explainable interpretation feedback model is provided. The embodiment may include receiving a natural language query. The embodiment may also include to automatically detecting whether the received natural language query includes implicit intent therein. The embodiment may include, in response to detecting implicit intent in the received natural language query, automatically generating a modified query including a default inference from an interpretation fact sheet. The embodiment may further include automatically presenting the modified query to the user and asking the user for feedback on the modified query. The embodiment may also include automatically generating a final output if the modified query was approved, or automatically determining an alternative inference and presenting a further modified query including the alternative inference to the user if the modified query was rejected.
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公开(公告)号：US20230385275A1
公开(公告)日：2023-11-30
申请号：US17804116
申请日：2022-05-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： YAZAN OBEIDI , Jaydeep Sen , Tarun Tater , Vatche Isahagian , Vinod Muthusamy
IPC: G06F16/2453 , G06F16/242
CPC classification number: G06F16/24535 , G06F16/243 , G06F16/24542
Abstract: An embodiment for identifying and processing poly-process natural language queries may include receiving a natural language query. The embodiment may also automatically identify a bridge entity in the received natural language query. The embodiment may also automatically determine whether the received natural language query is a poly-process query. The embodiment may further include, in response to identifying that the received natural language query is the poly-process query, automatically generating sub-queries for each process in the poly-process query and generate results for each sub-query. The embodiment may also automatically combining the results of each sub-query using the bridge entity to output a combined result. The embodiment may further include automatically generating a modified sub-query for post-processing of the combined result. The embodiment may also automatically process the modified sub-query to generate a final query result for the received natural language query.
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公开(公告)号：US20200304435A1
公开(公告)日：2020-09-24
申请号：US16358741
申请日：2019-03-20
Applicant: International Business Machines Corporation
Inventor： Tanmayee Narendra , Tarun Tater , Srikanth Govindaraj Tamilselvam , Senthil Kumar Kumarasamy Mani
Abstract: Embodiments describe an approach for automatically generating feedback for an online forum. Embodiments determine if a user is using a solution to a problem, wherein the solution is posted on an online forum, and responsive to determining the user is using the solution, capturing environment information associated with the user's computing device. Additionally, embodiments determine if the solution solved the problem, and responsive to determining the solution solved the problem, automatically generate feedback associated with the solution, wherein the feedback comprises the environment information and information detailing that the solution solved the problem.
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4.发明授权公开(公告)号：US11656855B2
公开(公告)日：2023-05-23
申请号：US17346420
申请日：2021-06-14
Applicant: International Business Machines Corporation
Inventor： Anvita Vyas , Namit Kabra , Saranga dhar Tripathy , Tarun Tater , Vijay Ekambaram
CPC classification number: G06F8/443 , G06F8/77 , G06F11/3688
Abstract: An approach is disclosed that receives a code segment from a source code file. The received code segment is inputted to a trained knowledge manager from which one or more comparable code segments are received. Each of the comparable code segments are identified as having similar functionality as the selected code segment and each of the comparable code segments has a set of metadata. The metadata is used to select one of the comparable code segments and this selected code segment is used to replace the original code segment in the source code file.
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公开(公告)号：US20210097383A1
公开(公告)日：2021-04-01
申请号：US16588032
申请日：2019-09-30
Applicant: International Business Machines Corporation
Inventor： Jassimran Kaur , Tarun Tater , Anush Sankaran , Naveen Panwar
Abstract: Methods, systems, and computer program products for combined data pre-process and architecture search for deep learning models are provided herein. A computer-implemented method includes obtaining data corresponding to a deep learning task; performing, based on the deep learning task and the data, a multi-objective learning process to select an optimal combination of (i) a deep learning architecture for the deep learning task and (ii) a data pre-processing strategy to be applied to the data, the data pre-processing strategy comprising one or more pre-processing steps; pre-processing the data for the selected deep learning architecture based on the data pre-processing strategy; and providing the pre-processed data as input to the selected deep learning architecture to perform the deep learning task.
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Patent Agency Ranking
公开(公告)号：US11947536B2
公开(公告)日：2024-04-02
申请号：US17804116
申请日：2022-05-26
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Yazan Obeidi , Jaydeep Sen , Tarun Tater , Vatche Isahagian , Vinod Muthusamy
IPC: G06F16/24 , G06F16/242 , G06F16/245 , G06F16/2453
CPC classification number: G06F16/24535 , G06F16/243 , G06F16/24542
Abstract: An embodiment for identifying and processing poly-process natural language queries may include receiving a natural language query. The embodiment may also automatically identify a bridge entity in the received natural language query. The embodiment may also automatically determine whether the received natural language query is a poly-process query. The embodiment may further include, in response to identifying that the received natural language query is the poly-process query, automatically generating sub-queries for each process in the poly-process query and generate results for each sub-query. The embodiment may also automatically combining the results of each sub-query using the bridge entity to output a combined result. The embodiment may further include automatically generating a modified sub-query for post-processing of the combined result. The embodiment may also automatically process the modified sub-query to generate a final query result for the received natural language query.
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公开(公告)号：US20240095267A1
公开(公告)日：2024-03-21
申请号：US17933990
申请日：2022-09-21
Applicant: International Business Machines Corporation
Inventor： Tarun Tater , Jaydeep Sen
IPC: G06F16/33 , G06F40/205 , G06F40/263
CPC classification number: G06F16/3337 , G06F40/205 , G06F40/263
Abstract: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process to facilitate multi-lingual query interpretation. 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 an annotation component that generates one or more language invariant signals, an interpretation component that generates a complete query intent using the one or more language invariant signals, and a translation component that processes the complete query intent to an executable backend query to facilitate multi-lingual query interpretation. In one or more embodiments, the translation component can be operatively connected with the interpretation component to generate a zero-shot transfer of the one or more language invariant signals.
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8.发明公开公开(公告)号：US20230267343A1
公开(公告)日：2023-08-24
申请号：US17678276
申请日：2022-02-23
Applicant: International Business Machines Corporation
Inventor： Tarun Tater , Jaydeep Sen , Rudra Murthy Venkataramana , Vishwajeet Kumar
IPC: G06N5/04
CPC classification number: G06N5/04
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.
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公开(公告)号：US20230131495A1
公开(公告)日：2023-04-27
申请号：US17508146
申请日：2021-10-22
Applicant: International Business Machines Corporation
Inventor： Tarun Tater , Jaydeep Sen , Vatche Isahagian , Yara Rizk , Vinod Muthusamy
IPC: G06N5/04 , G06F40/211 , G06F11/34
Abstract: A query can be received from a user. The query can be sent to a plurality of automated agents to process the query. Results and associated confidence scores can be received from the plurality of automated agents. At least some of the results and associated confidence scores can be probed, based at least on a reason given for a result having the highest associated confidence score among the received results and associated confidence scores, to select an automated agent from the plurality of automated agents for answering the query. Information can be stored, where the information can include at least the results and associated confidence scores and a selected automated agent for answering the query, where at least one of the plurality of automated agents learns from the stored information to update its confidence score in answering the query.
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公开(公告)号：US11334347B2
公开(公告)日：2022-05-17
申请号：US15929451
申请日：2020-05-04
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Namit Kabra , Vijay Ekambaram , Tarun Tater , Saranga Dhar Tripathy
Abstract: Techniques for build recovery from inter-code commit failure. A build error for a software project is identified. A first software module, with one or more errors related to the build error, is selected. A comparison software module for the first software module is identified. The comparison software module includes at least one of: (i) a sibling software module to the first software module or (ii) an earlier version of the first software module. A potential problem with the first software module, related to the build error, is determined based on comparing the first software module with the comparison software module. A solution to the potential problem is generated based on the first software module. The solution includes a modification to the software code of the first software module. The solution is applied by modifying the software code of the first software module.
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