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公开(公告)号:US20210303798A1
公开(公告)日:2021-09-30
申请号:US17217909
申请日:2021-03-30
Applicant: Oracle International Corporation
Inventor: Thanh Long Duong , Mark Edward Johnson , Vishal Vishnoi , Crystal C. Pan , Vladislav Blinov , Cong Duy Vu Hoang , Elias Luqman Jalaluddin , Duy Vu , Balakota Srinivas Vinnakota
IPC: G06F40/30 , G06F40/289 , H04L12/58 , G06N20/00
Abstract: The present disclosure relates to techniques for identifying out-of-domain utterances. One particular technique includes receiving an utterance and a target domain of a chatbot, generating a sentence embedding for the utterance, obtaining an embedding representation for each cluster of in-domain utterances associated with the target domain, predicting, using a metric learning model, a first probability that the utterance belongs to the target domain based on a similarity or difference between the sentence embedding and each embedding representation for each cluster, predicting, using an outlier detection model, a second probability that the utterance belongs to the target domain based on a determined distance or density deviation between the sentence embedding and embedding representations for neighboring clusters, evaluating the first probability and the second probability to determine a final probability, and classifying the utterance as in-domain or out-of-domain for the chatbot based on the final probability.
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公开(公告)号:US20200342850A1
公开(公告)日:2020-10-29
申请号:US16857047
申请日:2020-04-23
Applicant: Oracle International Corporation
Inventor: Vishal Vishnoi , Xin Xu , Srinivasa Phani Kumar Gadde , Fen Wang , Muruganantham Chinnananchi , Manish Parekh , Stephen Andrew McRitchie , Jae Min John , Crystal C. Pan , Gautam Singaraju , Saba Amsalu Teserra
Abstract: Techniques are described for invoking and switching between chatbots of a chatbot system. In some embodiments, the chatbot system is capable of routing an utterance received while a user is already interacting with a first chatbot in the chatbot system. For instance, the chatbot system may identify a second chatbot based on determining that (i) such an utterance is an invalid input to the first chatbot or (ii) that the first chatbot is attempting to route the utterance to a destination associated with the first chatbot. Identifying the second chatbot can involve computing, using a predictive model, separate confidence scores for the first chatbot and the second chatbot, and then determining that a confidence score for the second chatbot satisfies one or more confidence score thresholds. The utterance is then routed to the second chatbot based on the identifying of the second chatbot.
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公开(公告)号:US12223276B2
公开(公告)日:2025-02-11
申请号:US18424178
申请日:2024-01-26
Applicant: Oracle International Corporation
Inventor: Vishal Vishnoi , Xin Xu , Elias Luqman Jalaluddin , Srinivasa Phani Kumar Gadde , Crystal C. Pan , Mark Edward Johnson , Thanh Long Duong , Balakota Srinivas Vinnakota , Manish Parekh
IPC: G06F40/295 , G06F40/211 , G06F40/35 , G06F40/56 , G06N5/043
Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.
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公开(公告)号:US12014146B2
公开(公告)日:2024-06-18
申请号:US18364298
申请日:2023-08-02
Applicant: Oracle International Corporation
Inventor: Thanh Long Duong , Mark Edward Johnson , Vishal Vishnoi , Crystal C. Pan , Vladislav Blinov , Cong Duy Vu Hoang , Elias Luqman Jalaluddin , Duy Vu , Balakota Srinivas Vinnakota
IPC: G06F40/30 , G06F40/205 , G06F40/289 , G06N20/00 , H04L51/02
CPC classification number: G06F40/30 , G06F40/289 , G06N20/00 , H04L51/02 , G06F40/205
Abstract: The present disclosure relates to techniques for identifying out-of-domain utterances. One particular technique includes receiving an utterance and a target domain of a chatbot, generating a sentence embedding for the utterance, obtaining an embedding representation for each cluster of in-domain utterances associated with the target domain, predicting, using a metric learning model, a first probability that the utterance belongs to the target domain based on a similarity or difference between the sentence embedding and each embedding representation for each cluster, predicting, using an outlier detection model, a second probability that the utterance belongs to the target domain based on a determined distance or density deviation between the sentence embedding and embedding representations for neighboring clusters, evaluating the first probability and the second probability to determine a final probability, and classifying the utterance as in-domain or out-of-domain for the chatbot based on the final probability.
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公开(公告)号:US11763092B2
公开(公告)日:2023-09-19
申请号:US17217909
申请日:2021-03-30
Applicant: Oracle International Corporation
Inventor: Thanh Long Duong , Mark Edward Johnson , Vishal Vishnoi , Crystal C. Pan , Vladislav Blinov , Cong Duy Vu Hoang , Elias Luqman Jalaluddin , Duy Vu , Balakota Srinivas Vinnakota
IPC: G06F40/30 , G06N20/00 , G06F40/289 , H04L51/02 , G06F40/205
CPC classification number: G06F40/30 , G06F40/289 , G06N20/00 , H04L51/02 , G06F40/205
Abstract: The present disclosure relates to techniques for identifying out-of-domain utterances. One particular technique includes receiving an utterance and a target domain of a chatbot, generating a sentence embedding for the utterance, obtaining an embedding representation for each cluster of in-domain utterances associated with the target domain, predicting, using a metric learning model, a first probability that the utterance belongs to the target domain based on a similarity or difference between the sentence embedding and each embedding representation for each cluster, predicting, using an outlier detection model, a second probability that the utterance belongs to the target domain based on a determined distance or density deviation between the sentence embedding and embedding representations for neighboring clusters, evaluating the first probability and the second probability to determine a final probability, and classifying the utterance as in-domain or out-of-domain for the chatbot based on the final probability.
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公开(公告)号:US20230252975A1
公开(公告)日:2023-08-10
申请号:US18136745
申请日:2023-04-19
Applicant: Oracle International Corporation
Inventor: Vishal Vishnoi , Xin Xu , Srinivasa Phani Kumar Gadde , Fen Wang , Muruganantham Chinnananchi , Manish Parekh , Stephen Andrew McRitchie , Jae Min John , Crystal C. Pan , Gautam Singaraju , Saba Amsalu Teserra
Abstract: Techniques are described for invoking and switching between chatbots of a chatbot system. In some embodiments, the chatbot system is capable of routing an utterance received while a user is already interacting with a first chatbot in the chatbot system. For instance, the chatbot system may identify a second chatbot based on determining that (i) such an utterance is an invalid input to the first chatbot or (ii) that the first chatbot is attempting to route the utterance to a destination associated with the first chatbot. Identifying the second chatbot can involve computing, using a predictive model, separate confidence scores for the first chatbot and the second chatbot, and then determining that a confidence score for the second chatbot satisfies one or more confidence score thresholds. The utterance is then routed to the second chatbot based on the identifying of the second chatbot.
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公开(公告)号:US20220100961A1
公开(公告)日:2022-03-31
申请号:US17490792
申请日:2021-09-30
Applicant: Oracle International Corporation
Inventor: Vishal Vishnoi , Xin Xu , Elias Luqman Jalaluddin , Srinivasa Phani Kumar Gadde , Crystal C. Pan , Mark Edward Johnson , Thanh Long Duong , Balakota Srinivas Vinnakota , Manish Parekh
IPC: G06F40/295 , G06F40/35 , G06F40/211 , G06F40/56 , G06N5/04
Abstract: Techniques for automatically switching between chatbot skills in the same domain. In one particular aspect, a method is provided that includes receiving an utterance from a user within a chatbot session, where a current skill context is a first skill and a current group context is a first group, inputting the utterance into a candidate skills model for the first group, obtaining, using the candidate skills model, a ranking of skills within the first group, determining, based on the ranking of skills, a second skill is a highest ranked skill, changing the current skill context of the chatbot session to the second skill, inputting the utterance into a candidate flows model for the second skill, obtaining, using the candidate flows model, a ranking of intents within the second skill that match the utterance, and determining, based on the ranking of intents, an intent that is a highest ranked intent.
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