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公开(公告)号：US20240265237A1
公开(公告)日：2024-08-08
申请号：US18163804
申请日：2023-02-02
IPC分类号： G06N3/0455 , G06N3/0985
CPC分类号： G06N3/0455 , G06N3/0985
摘要： Explaining decisions or predictions of an AI model can include generating perturbed instances by perturbing one or more encoded features of a multimodal AI model instance. For each of the perturbed instances, a distance between one or more encoded features of each perturbed instance and a corresponding one or more of the encoded features of the multimodal AI instance can be determined. Each distance can be converted to a weight using a kernel function. For each weight, a modality-specific Shapley value can be determined, and each weight can be adjusted by post-weighting each weight with the modality-specific Shapley value associated with the weight to obtain final weights. An interpretable surrogate model based on the final weights can be output.
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公开(公告)号：US12045317B2
公开(公告)日：2024-07-23
申请号：US17533898
申请日：2021-11-23
IPC分类号： G06V10/00 , G06F18/2323 , G06F18/2411 , G06N20/20
CPC分类号： G06F18/2411 , G06F18/2323 , G06N20/20
摘要： An example system includes a processor to receive a set of features, a set of relations between the features, and a set of target features. Each of the target features is associated with a number of the relations. The processor can generate a hypergraph based on the features and the relations. The processor also can select a subset of features based on a transitive closure of the hypergraph for each of the target features. The processor can transmit the selected subset of features.
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公开(公告)号：US20240185027A1
公开(公告)日：2024-06-06
申请号：US18074148
申请日：2022-12-02
摘要： Using encoded representations of target model training data and a label corresponding to each portion of the target model training data, a proxy model to determine an uncertainty score corresponding to an output of a trained target model is trained. Using the trained proxy model, a set of uncertainty scores is computed, each uncertainty score in the set of uncertainty scores corresponding to a portion of target model testing data in a set of target model testing data. A subset of the set of target model testing data is selected, the subset comprising a plurality of portions of target model testing data having an uncertainty score above a threshold uncertainty score. Using the subset of the set of target model testing data, the trained target model.
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公开(公告)号：US11645470B2
公开(公告)日：2023-05-09
申请号：US17136469
申请日：2020-12-29
发明人： Arpan Losalka , Diptikalyan Saha
IPC分类号： G06F40/00 , G06F40/30 , G06F40/247 , G06F40/295 , G06N7/01 , G06N3/006 , G10L15/18
CPC分类号： G06F40/30 , G06F40/247 , G06F40/295 , G06N7/01 , G06N3/006 , G10L15/1822
摘要： Methods, systems and computer program products for automated testing of dialog systems are provided herein. A computer-implemented method includes receiving information pertaining to a given conversation workspace of an automated dialog system and identifying test case inputs to the automated dialog system, the test case inputs comprising user input for the given conversation workspace that has portions thereof modified and which the automated dialog system maps to a different intent and/or a different entity relative to the user input. The method further includes generating human-interpretable explanations of mappings of portions of the test case inputs to the different intent and/or entity, generating suggestions for modifying intents, entities and dialog flows of the given conversation workspace such that the test case inputs map to the same intent and/or the same entity as their corresponding user input, and outputting the suggestions and the human-interpretable explanations to a user.
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公开(公告)号：US20230025731A1
公开(公告)日：2023-01-26
申请号：US17378794
申请日：2021-07-19
发明人： Michael Vinov , Oleg Blinder , Diptikalyan Saha , Sandeep Hans , Aniya Aggarwal , Omer Yehuda Boehm , Eyal Bin
摘要： A computer-implemented method comprising, automatically: analyzing a machine learning dataset which comprises multiple datapoints, to deduce constraints on features of the datapoints; generating a first set of CSP (Constraint Satisfaction Problem) rules expressing the constraints; based on a machine learning model which was trained on the dataset, generating a second set of CSP rules that define one or more perturbation candidates among the features of one of the datapoints; formulating a CSP based on the first and second sets of CSP rules; solving the formulated CSP using a solver; and using the solution of the CSP as a counterfactual explanation of a prediction made by the machine learning model with respect to the one datapoint.
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公开(公告)号：US11200222B2
公开(公告)日：2021-12-14
申请号：US16393090
申请日：2019-04-24
IPC分类号： G06F16/23 , G06F16/2455 , G06F16/242 , G06F16/2452
摘要： Embodiments are disclosed for correcting a natural language interface database (NLIDB) system. The techniques include receiving feedback indicating that an answer provided in response to a question for an NLIDB system is inaccurate. The techniques further include finding an ontology element for a datastore of the NLIDB system that matches to the feedback. The techniques also include selecting candidate annotations for the NLIDB system based on the ontology element and a data type of the ontology element. Additionally, the techniques include generating a question-answer (QA) pair for each of the candidate annotations. Further, the techniques include adding one of the candidate annotations to annotations for a natural language query (NLQ) engine of the NLIDB system based on a client verification of the QA pair.
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公开(公告)号：US20210064706A1
公开(公告)日：2021-03-04
申请号：US16552557
申请日：2019-08-27
摘要： One embodiment provides a method, including: receiving, within a conversational agent creation framework used to create conversational agents that perform negotiations on behalf of users, (i) a selection of one of a plurality of conversational agent roles (ii) negotiation constraints for the selected role, and (iii) an object for the negotiation; creating a conversational agent (i) having the selected role and (ii) programmed with the negotiation constraints; identifying at least one other conversational agent (i) having an opposing role with respect to the object and (ii) being programmed with opposing role negotiation constraints; and conducting a conversational session between the conversational agent and the at least one other conversational agent, wherein the conversational session comprises the negotiation for the object and wherein the conversational agent and the at least one other conversational agent perform the negotiation in view of the negotiation constraints and the opposing role negotiation constraints.
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公开(公告)号：US20210019349A1
公开(公告)日：2021-01-21
申请号：US16517044
申请日：2019-07-19
发明人： Aniya Aggarwal , Diptikalyan Saha , Kalapriya Kannan , Kuntal Dey , Pranay Kumar Lohia , Seema Nagar
IPC分类号： G06F16/9032 , G06F16/907 , G06F16/9035 , G06F9/48 , G06F9/445 , G06Q10/10
摘要： One embodiment provides a method, including: identifying at least one protected attribute of a task of annotating information, wherein the task is assigned to at least one crowdsourced worker for performance of the task; generating at least one question for detecting bias of the at least one crowdsourced worker with respect to the at least one protected attribute, the at least one question comprising a previously provided annotation; providing the at least one question to the at least one crowdsourced worker at a period during performance of the task; computing a bias of the at least one crowdsourced worker with respect to the at least one protected attribute by comparing (i) an annotation provided by the crowdsourced worker to the at least one question and (ii) the previously provided annotation; and updating a profile of the at least one crowdsourced worker with the computed bias.
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公开(公告)号：US20190228068A1
公开(公告)日：2019-07-25
申请号：US15875303
申请日：2018-01-19
发明人： Jaydeep Sen , Parag Jain , Diptikalyan Saha , Ashish Mittal
摘要： Methods, systems, and computer program products for bootstrapping of state-based dialog systems are provided herein. A computer-implemented method includes determining parameters for state automata by partitioning an ontology graph into sub-graphs and a knowledge graph into sub-graphs, wherein the ontology graph and the knowledge graph are based on a user question and domain knowledge pertaining to the user question; generating a structured query for each of the sub-graphs; determining intentions of a dialog pertaining to the at least one user question by translating each of the generated structured queries to a respective natural language query; creating one or more dialog states for each of the determined dialog intentions; creating one or more connecting dialog states between pairs of the created dialog states; and generating an automata dialog framework associated with the user question based on the created dialog states and the created connecting dialog states.
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公开(公告)号：US20180276273A1
公开(公告)日：2018-09-27
申请号：US15467291
申请日：2017-03-23
CPC分类号： G06F16/243 , G06F17/2785
摘要： Methods, systems, and computer program products for carrying out interactive dialog in natural language using an ontology are provided herein. A computer-implemented method includes generating one or more domain-driven interpretations of a natural language dialogue query provided by a user via utilization of a web ontology language; determining multiple structured base queries, from among a stored collection of structured queries, that correspond to the natural language dialogue query, in view of the one or more generated domain-driven interpretations; selecting one of the multiple determined structured base queries, based on one or more items of context information pertaining to the dialogue; automatically generating a response to the selected structured base query; and outputting the generated response to the user.
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