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    PREDICTING USER INTENT FOR ONLINE SYSTEM ACTIONS THROUGH NATURAL LANGUAGE INFERENCE-BASED MACHINE LEARNING MODEL
    3.
    发明申请
    PREDICTING USER INTENT FOR ONLINE SYSTEM ACTIONS THROUGH NATURAL LANGUAGE INFERENCE-BASED MACHINE LEARNING MODEL 有权

    公开(公告)号：US20210142103A1

    公开(公告)日：2021-05-13

    申请号：US16718186

    申请日：2019-12-18

    Applicant: salesforce.com, inc.

    Inventor： Tian Xie ,  Kazuma Hashimoto ,  Xinyi Yang ,  Caiming Xiong

    IPC: G06K9/62 ,  G06N5/04 ,  G06F40/216

    Abstract: An online system that allows users to interact with it using expressions in natural language form includes an intent inference module allowing it to infer an intent represented by a user expression. The intent inference module has a set of possible intents, along with a small set of example natural language expressions known to represent that intent. When a user interacts with the system using a natural language expression for which the intent is not already known, the intent inference module applies a natural language inference model to compute scores indicating whether the user expression textually entails the various example natural language expressions. Based on the scores, the intent inference module determines an intent that is most applicable for the expression. If an intent cannot be determined with sufficient confidence, the intent inference module may further attempt to determine whether the various example natural language expressions textually entail the user expression.

    CUSTOMIZING CHATBOTS BASED ON USER SPECIFICATION
    5.
    发明申请
    CUSTOMIZING CHATBOTS BASED ON USER SPECIFICATION 有权

    公开(公告)号：US20220103491A1

    公开(公告)日：2022-03-31

    申请号：US17037554

    申请日：2020-09-29

    Applicant: salesforce.com, inc.

    Inventor： Xinyi Yang ,  Tian Xie ,  Caiming Xiong ,  Wenhao Liu ,  Huan Wang ,  Kazuma Hashimoto ,  Jin Qu ,  Feihong Wu ,  Yingbo Zhou

    IPC: H04L12/58 ,  G06N3/04 ,  G06K9/62 ,  G06F40/35

    Abstract: A conversation engine performs conversations with users using chatbots customized for performing a set of tasks that can be performed using an online system. The conversation engine loads a chatbot configuration that specifies the behavior of a chatbot including the tasks that can be performed by the chatbot, the types of entities relevant to each task, and so on. The conversation may be voice based and use natural language. The conversation engine may load different chatbot configurations to implement different chatbots. The conversation engine receives a conversation engine configuration that specifies the behavior of the conversation engine across chatbots. The system may be a multi-tenant system that allows customization of the chatbots for each tenant.

    Intent resolution for chatbot conversations with negation and coreferences
    8.
    发明授权
    Intent resolution for chatbot conversations with negation and coreferences 有权

    公开(公告)号：US11531821B2

    公开(公告)日：2022-12-20

    申请号：US16993257

    申请日：2020-08-13

    Applicant: salesforce.com, inc.

    Inventor： Tian Xie ,  Xinyi Yang ,  Caiming Xiong ,  Wenhao Liu ,  Huan Wang ,  Wenpeng Yin ,  Jin Qu

    IPC: G06F40/30 ,  G10L15/22 ,  H04L51/02

    Abstract: A system performs conversations with users using chatbots customized for performing a set of tasks. The system may be a multi-tenant system that allows customization of the chatbots for each tenant. The system processes sentences that may include negation or coreferences. The system determines a confidence score for an input sentence using an intent detection model, for example, a neural network. The system modifies the sentence to generate a modified sentence, for example, by removing a negation or by replacing a pronoun with an entity. The system generates a confidence score for the modified sentence using the intent detection model. The system determines the intent of the sentence based on the confidence scores of the sentence and the modified sentence. The system performs tasks based on the determined intent and performs conversations with users based on the tasks.

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