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公开(公告)号：US20230146979A1
公开(公告)日：2023-05-11
申请号：US17453840
申请日：2021-11-06
IPC分类号： G06F40/166 , G06F40/205 , G06F40/40 , G06N20/00
CPC分类号： G06F40/166 , G06F40/205 , G06F40/40 , G06N20/00
摘要： In an approach to improve abstract summarization with question and answer rewards embodiments generate, by a question and answer generator, questions and answers corresponding to a generated summary. Further, embodiments evaluate received answers for the generated questions by analyzing received answers associated with the generated summary against answers received for an original summary, and calculate a reward based on the similarity between answers associated with generated summary and the original summary. Additionally, embodiments update the generation model by applying the calculated reward to further train the summary generation model.
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公开(公告)号：US20220385703A1
公开(公告)日：2022-12-01
申请号：US17331840
申请日：2021-05-27
摘要： Embodiments of the invention are directed to a computer-implemented method of responding to an inquiry received electronically at a synchronous conferencing system (SCS). A non-limiting example of the computer-implemented method includes, based at least in part on the inquiry, using a processor of the SCS to generate a script having one or more script computer instructions. The processor is used to execute the script computer instructions to generate script computer instruction results, wherein the script computer instruction results include inquiry response information that is responsive to the inquiry. Based at least in part on the inquiry and the inquiry response information, the processor is used to generate an inquiry response that is responsive to the inquiry.
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公开(公告)号：US20230122429A1
公开(公告)日：2023-04-20
申请号：US17503313
申请日：2021-10-17
摘要： Summarization of customer service dialogs by: receiving, as input, a two-party multi-turn dialog; applying a trained next response prediction (NRP) machine learning model to the received dialog, to determine a level of significance of each utterance in the dialog with respect to performing an NRP task over the dialog; assigning a score to each of the utterances in the dialog, based, at least in part, on the determined level of significance; and selecting one or more of the utterances for inclusion in an extractive summarization of the dialog, based, at least in part, on the assigned scores.
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公开(公告)号：US20210287103A1
公开(公告)日：2021-09-16
申请号：US16814830
申请日：2020-03-10
发明人： Pavan Kapanipathi Bangalore , Kartik Talamadupula , Veronika Thost , Siva Sankalp Patel , Ibrahim Abdelaziz , Avinash Balakrishnan , Maria Chang , Kshitij Fadnis , Chulaka Gunasekara , Bassem Makni , Nicholas Mattei , Achille Belly Fokoue-Nkoutche
摘要： One embodiment of the invention provides a method for natural language processing (NLP). The method comprises extracting knowledge outside of text content of a NLP instance by extracting a set of subgraphs from a knowledge graph associated with the text content. The set of subgraphs comprises the knowledge. The method further comprises encoding the knowledge with the text content into a fixed size graph representation by filtering and encoding the set of subgraphs. The method further comprises applying a text embedding algorithm to the text content to generate a fixed size text representation, and classifying the text content based on the fixed size graph representation and the fixed size text representation.
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公开(公告)号：US20210209167A1
公开(公告)日：2021-07-08
申请号：US16733267
申请日：2020-01-03
发明人： Song Feng , Chulaka Gunasekara , Kshitji Fadnis , Lazaros Polymenakos , Sunil Davangere Shashidhara
IPC分类号： G06F16/9032 , G06F40/30 , G06F40/295
摘要： Embodiments relate to a system, program product, and method directed at NL and a virtual dialog platform. A natural language (NL) statement is detected and analyzed to identify one or more entities expressed in the statement. The identified entities are leveraged to parse the statement into keywords. The intent of the received statement is represented as a relationship between two or more keywords. A knowledge representation is identified to represent the statement with respect to a formatted a module having two or more components and a component relationship structure. Each statement keyword is assigned to a designated module component based on an alignment of the component relationship with the keyword relationship. The statement intent is expressed based on the relationship between the keywords, and a statement response is inferred. The inferred statement is communicated to the virtual dialog platform.
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公开(公告)号：US20230419045A1
公开(公告)日：2023-12-28
申请号：US17808628
申请日：2022-06-24
发明人： Song Feng , Chulaka Gunasekara , Hui Wan , Jatin Ganhotra , Siva Sankalp Patel , Sachindra Joshi
摘要： Provided is a computer-implemented method, system, and computer program product for generating a goal-oriented dialogue from a grounding document. A processor may analyze a corpus of text. The processor may identify, based on the analyzing, one or more semantic structures that can be used to simulate a dialogue. The processor may generate, based on the identifying, a simulated dialogue, the simulated dialogue including one or more utterances from a simulated agent and one or more utterances from a simulated user to form a dialogue flow.
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公开(公告)号：US20230342397A1
公开(公告)日：2023-10-26
申请号：US17660235
申请日：2022-04-22
发明人： Jatin Ganhotra , Nathaniel Mills , Chulaka Gunasekara , Kshitij Fadnis , Sachindra Joshi , Luis A. Lastras-Montano
IPC分类号： G06F16/9032 , G06F16/955 , G06F16/906 , G06F40/35 , G06F40/205
CPC分类号： G06F16/90332 , G06F16/9566 , G06F16/906 , G06F40/35 , G06F40/205
摘要： A method, computer system, and a computer program for conducting a conversational search. In one embodiment, the method includes monitoring a dialogue involving at least one user and capturing user utterances provided during the dialogue. These user utterances are then analyzed and classified according to the context of the dialogue. The dialogue is intervened upon the determination that a user needs additional information and/or upon execution of an action on behalf of the user and based on the plurality of user utterances and context. The Required information may be provided back to the user using Documentation Recommendation Module. The Documentation Recommendation Module determines a valid resource recommendation as determined by a combination of the context and a resource that includes additional information.
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公开(公告)号：US11797609B2
公开(公告)日：2023-10-24
申请号：US16743157
申请日：2020-01-15
发明人： Rangachari Anand , Ashima Arora , Raimo Bakis , Song Feng , Jatin Ganhotra , Chulaka Gunasekara , David Nahamoo , Lazaros Polymenakos , Sunil D Shashidhara , Li Zhu
IPC分类号： G06F16/00 , G06F16/901 , G06F9/451 , G10L15/18 , G10L15/22 , G06F3/0484 , G06F16/242 , G06F16/25 , G06F16/23 , G06F16/2457 , G06F40/35 , G06F40/205
CPC分类号： G06F16/9024 , G06F3/0484 , G06F9/451 , G06F9/453 , G06F16/2379 , G06F16/242 , G06F16/24578 , G06F16/252 , G06F40/205 , G06F40/35 , G10L15/1815 , G10L15/22 , G10L2015/223
摘要： A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A unified contextual graph for use by the conversational system, the unified contextual graph comprising components based on database queries of the conversational system and a user dialog between a user and the conversational system. For each of a set of user utterances produced in a dialog with the conversational system, a semantic meaning representation is determined. The semantic meaning representations are converted to respective sentential concept graphs. The unified contextual graph is updated based on new sentential concept graphs while the dialog with the conversational system progresses.
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公开(公告)号：US11429876B2
公开(公告)日：2022-08-30
申请号：US16814830
申请日：2020-03-10
发明人： Pavan Kapanipathi Bangalore , Kartik Talamadupula , Veronika Thost , Siva Sankalp Patel , Ibrahim Abdelaziz , Avinash Balakrishnan , Maria Chang , Kshitij Fadnis , Chulaka Gunasekara , Bassem Makni , Nicholas Mattei , Achille Belly Fokoue-Nkoutche
摘要： One embodiment of the invention provides a method for natural language processing (NLP). The method comprises extracting knowledge outside of text content of a NLP instance by extracting a set of subgraphs from a knowledge graph associated with the text content. The set of subgraphs comprises the knowledge. The method further comprises encoding the knowledge with the text content into a fixed size graph representation by filtering and encoding the set of subgraphs. The method further comprises applying a text embedding algorithm to the text content to generate a fixed size text representation, and classifying the text content based on the fixed size graph representation and the fixed size text representation.
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公开(公告)号：US10915588B2
公开(公告)日：2021-02-09
申请号：US16053726
申请日：2018-08-02
发明人： Raimo Bakis , Song Feng , Jatin Ganhotra , Chulaka Gunasekara , David Nahamoo , Lazaros Polymenakos , Sunil D Shashidhara , Cheng Wu , Li Zhu
IPC分类号： G06F17/30 , G06F16/9535 , G06N5/02 , G10L15/22 , G06F16/9032 , G06F40/30
摘要： A method, apparatus and computer program product for presenting a user interface for a conversational system is described. A user input is received in a dialog between a user and the conversational system, the user input in a natural language. A domain trained semantic matcher is used to determine a set of entities and a user intent from the user input. One or more queries is generated to selected ones of a plurality of knowledge sources, the knowledge sources created from domain specific knowledge. The results from the one or more queries are ranked based on domain specific knowledge. A system response is presented in the dialog based on at least a highest ranked result from the plurality of knowledge sources.
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