-
公开(公告)号：US10817352B2
公开(公告)日：2020-10-27
申请号：US15936494
申请日：2018-03-27
Applicant: International Business Machines Corporation
Inventor： Amir Kantor , David Amid , David Boaz , Ateret Anaby Tavor
Abstract: A method comprising operating a computerized chatbot to: calculate first and second scores representing a relevance of input received from a user to functionalities provided by respective first and second modules, respectively, of the chatbot; associate the first and second modules with respective first and second names; introducing the modules to the user using their associated names; selecting a module to interact with the user based on at least one of: a name mentioned by the user and a score and switching between the first and second modules based on the names.
-
公开(公告)号：US20190303218A1
公开(公告)日：2019-10-03
申请号：US15936494
申请日：2018-03-27
Applicant: International Business Machines Corporation
Inventor： Amir Kantor , David Amid , David Boaz , Ateret Anaby Tavor
IPC: G06F9/54
Abstract: A method comprising operating a computerized chatbot to: calculate first and second scores representing a relevance of input received from a user to functionalities provided by respective first and second modules, respectively, of the chatbot; associate the first and second modules with respective first and second names; introducing the modules to the user using their associated names; selecting a module to interact with the user based on at least one of: a name mentioned by the user and a score and switching between the first and second modules based on the names.
-
13.发明申请公开(公告)号：US20180358001A1
公开(公告)日：2018-12-13
申请号：US15799161
申请日：2017-10-31
Applicant: International Business Machines Corporation
Inventor： David Amid , David Boaz , Tin Kam Ho , Amir Kantor , Luis A. Lastras-Montano , Neil R. Mallinar
Abstract: A method, apparatus, and system are provided for resolving conflicts between training data conflicts by retrieving independent training data sets, each comprising a plurality of intents and end-user utterances for use in training one or more classifiers to recognize a corresponding intent from one or more of the end-user utterances, providing a first test end-user utterance associated with a first intent from the first independent training data set to the one or more classifiers to select an output intent generated by the one or more classifiers; identifying a first conflict when the first intent does not match the output intent, and automatically generating, by the system, one or more conflict resolution recommendations for display and selection by an end user to resolve the first conflict.
-
公开(公告)号：US20160306899A1
公开(公告)日：2016-10-20
申请号：US15007234
申请日：2016-01-27
Applicant: International Business Machines Corporation
Inventor： David Amid , Ateret Anaby-Tavor , David Boaz , Ofer Shir
IPC: G06F17/50 , G06T11/20 , G06F3/0484
Abstract: A method of selecting a group from a plurality of multi objective designs which comply with a plurality of objectives. The method comprises providing a plurality of multi objective designs, each the multi objective design having a plurality of multi objective design objective values which comply with at least one constraint of a Pareto Frontier of an objective space of a plurality of objectives, selecting a group from the plurality of multi objective designs, each member of the group is selected according to a match between at least one objective of respective the plurality of objectives and at least one of a respective gain threshold and a respective loss threshold, and outputting the group.
Abstract translation: 从符合多个目标的多个多目标设计中选择组的方法。 该方法包括提供多个多目标设计，每个多目标设计具有多个符合多个目标的客观空间的帕累托前沿的至少一个约束的多目标设计目标值，从多个目标设计中选择一组 所述多个多目标设计中，根据所述多个目标的至少一个目标与相应的增益阈值和相应的损失阈值中的至少一个之间的匹配来选择所述组中的每个成员，并输出所述组。
-
15.发明授权公开(公告)号：US12299594B2
公开(公告)日：2025-05-13
申请号：US17246543
申请日：2021-04-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Maira G. de Bayser , Geeth Ranmal de Mel , Mathias B. Steiner , Mohab Elkaref , Ronaldo Giro , Bruce Gordon Elmegreen , Christopher R. Gibson , David Boaz , David S. Braines , Dean Clarke , Dmitry Zubarev , Flaviu Cipcigan , Kristin Schmidt , Lori French , Stacey Gifford
IPC: G06N5/04 , G06F16/3329 , G06F16/35 , G06F18/214 , G06N5/022 , G06N20/00
Abstract: A computer implemented method for generating query results includes generating by a computer processor, a training model through artificial intelligence. The training model is based on annotated data. A knowledge base for a subject matter is generated based on the training model. The knowledge base is based on content from document sources related to the subject matter. A natural language query input is received. An intent and requirements for satisfying the intent is inferred by the computer processor. The knowledge base is referenced to extract information related to the intent and requirements, from documents in the knowledge base. Relationships between the extracted information and the requirements are correlated from the documents in the knowledge base. Query results are displayed to the user. The query results are based on the correlated relationships.
-
Patent Agency Ranking
公开(公告)号：US11455981B2
公开(公告)日：2022-09-27
申请号：US16743727
申请日：2020-01-15
Applicant: International Business Machines Corporation
Inventor： David Amid , David Boaz , Tin Kam Ho , Amir Kantor , Luis A. Lastras-Montano , Neil R. Mallinar
Abstract: A method, apparatus, and system are provided for resolving conflicts between training data conflicts by retrieving independent training data sets, each comprising a plurality of intents and end-user utterances for use in training one or more classifiers to recognize a corresponding intent from one or more of the end-user utterances, providing a first test end-user utterance associated with a first intent from the first independent training data set to the one or more classifiers to select an output intent generated by the one or more classifiers; identifying a first conflict when the first intent does not match the output intent, and automatically generating, by the system, one or more conflict resolution recommendations for display and selection by an end user to resolve the first conflict.
-
公开(公告)号：US10546249B2
公开(公告)日：2020-01-28
申请号：US15007234
申请日：2016-01-27
Applicant: International Business Machines Corporation
Inventor： David Amid , Ateret Anaby-Tavor , David Boaz , Ofer Shir
IPC: G06N20/00 , G06F3/0484 , G06F17/50 , G06T11/20
Abstract: A method of selecting a group from a plurality of multi objective designs which comply with a plurality of objectives. The method comprises providing a plurality of multi objective designs, each the multi objective design having a plurality of multi objective design objective values which comply with at least one constraint of a Pareto Frontier of an objective space of a plurality of objectives, selecting a group from the plurality of multi objective designs, each member of the group is selected according to a match between at least one objective of respective the plurality of objectives and at least one of a respective gain threshold and a respective loss threshold, and outputting the group.
-
18.发明申请公开(公告)号：US20180358000A1
公开(公告)日：2018-12-13
申请号：US15620240
申请日：2017-06-12
Applicant: International Business Machines Corporation
Inventor： David Amid , David Boaz , Tin Kam Ho , Amir Kantor , Luis A. Lastras-Montano , Neil R. Mallinar
Abstract: A method, system, and apparatus are provided for resolving conflicts between training data conflicts by retrieving independent training data sets, each comprising a plurality of intents and end-user utterances for use in training one or more classifiers to recognize a corresponding intent from one or more of the end-user utterances, providing a first test end-user utterance associated with a first intent from the first independent training data set to the one or more classifiers to select an output intent generated by the one or more classifiers; identifying a first conflict when the first intent does not match the output intent, and automatically generating, by the system, one or more conflict resolution recommendations for display and selection by an end user to resolve the first conflict.
-
19.发明申请公开(公告)号：US20220351056A1
公开(公告)日：2022-11-03
申请号：US17246543
申请日：2021-04-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Maira G. de Bayser , Geeth Ranmal de Mel , Mathias B. Steiner , Mohab Elkaref , Ronaldo Giro , Bruce Gordon Elmegreen , Christopher R. Gibson , David Boaz , David S. Braines , Dean Clarke , Dmitry Zubarev , Flaviu Cipcigan , Kristin Schmidt , Lori French , Stacey Gifford
Abstract: A computer implemented method generating query results is provided. The method includes generating by a computer processor, a training model through artificial intelligence. The training model may be based on annotated data. A knowledge base for a subject matter may be generated based on the training model. The knowledge base may be based on content from document sources related to the subject matter. A natural language query input from a user may be received. An intent and requirements for satisfying the intent may be inferred by the computer processor. The knowledge base may be referenced to extract information related to the intent and requirements, from documents in the knowledge base. Relationships between the extracted information and the requirements may be correlated from the documents in the knowledge base. In addition, query results may be displayed to the user. The query results are based on the correlated relationships.
-
公开(公告)号：US20220059097A1
公开(公告)日：2022-02-24
申请号：US17000397
申请日：2020-08-24
Applicant: International Business Machines Corporation
Inventor： Ofer Lavi , Alon Jacovi , David Amid , David Boaz , Inbal Ronen , Ateret Anaby Tavor , Ori Bar El
IPC: G10L15/30 , G10L15/32 , G10L15/197
Abstract: The computer receives a group of conversation data associated with the escalation node, identifies agent responses in the conversation data, and clusters them into agent response types. The computer identifies dialog state feature value sets for the conversations. The computer identifies feature value set associations with response types, and generates, Boolean expressions representing the feature value sets associated with each of the response types. The computer makes a recommendation to add to at least one child node for the escalation node, with the child node corresponding to one of the response types. The child node has, as an entry condition, the Boolean expression for the response type to which the child node corresponds. The child node has as an action, which according to some aspects, provides a response representative of the cluster of agent responses for the response type to which the child node corresponds.
-
-
-
-
-
-
-
-
-
Search Results
23
records
(took 0.018 seconds)
