Deep reinforcement learning-based multi-step question answering systems

    公开(公告)号:US11573991B2

    公开(公告)日:2023-02-07

    申请号:US16695641

    申请日:2019-11-26

    Inventor: Yu Wang Hongxia Jin

    Abstract: A method includes receiving a user query and performing, using at least one processor, multiple rounds of an answer generation process. Each round of the answer generation process includes selecting one of multiple functions to be performed based on an input state. The input state for each round includes an embedding of the user query in a feature space. The input state for at least one round also includes an embedding of information to be used to identify an answer to the user query in the feature space. Each round of the answer generation process also includes performing the selected function. The multiple functions include (i) an answer generation function that produces the answer to the user query and (ii) at least one additional function that updates the input state for a current round for use during a subsequent round. In addition, the method includes providing the answer to the user.

    MULTI-MODEL STRUCTURES FOR CLASSIFICATION AND INTENT DETERMINATION

    公开(公告)号:US20200334539A1

    公开(公告)日:2020-10-22

    申请号:US16728987

    申请日:2019-12-27

    Abstract: Intent determination based on one or more multi-model structures can include generating an output from each of a plurality of domain-specific models in response to a received input. The domain-specific models can comprise simultaneously trained machine learning models that are trained using a corresponding local loss metric for each domain-specific model and a global loss metric for the plurality of domain-specific models. The presence or absence of an intent corresponding to one or more domain-specific models can be determined by classifying the output of each domain-specific model.

    Digital handwriting device and method of using the same

    公开(公告)号:US10146337B2

    公开(公告)日:2018-12-04

    申请号:US15267126

    申请日:2016-09-15

    Abstract: A digital handwriting system that includes an electronic device and a method of using the same. The present disclosure teaches a method that includes identifying content stored on the electronic device to be projected onto a surface; identifying occurrence of a touch event of an accessory; capturing an image of the touch event to determine initial position data indicating an initial position of the accessory relative to the projected content; receiving movement tracking data indicating movement of the accessory; and updating the content using the initial position data and the movement tracking data. Various embodiments may further include using an inertial movement unit (IMU) disposed in an electronic accessory for determining movement tracking data of the accessory. Moreover, updating the content may include updating the projected content in real-time.

    IDENTIFYING AND LOCALIZING A VEHICLE OCCUPANT BY CORRELATING HAND GESTURE AND SEATBELT MOTION

    公开(公告)号:US20170240066A1

    公开(公告)日:2017-08-24

    申请号:US15051556

    申请日:2016-02-23

    CPC classification number: B60N2/002 G01G19/12 H04L45/24 H04L67/1097

    Abstract: A method, system, and vehicle for locating an occupant within the vehicle. The method includes receiving motion data of a seatbelt for a seat in the vehicle and receiving motion data of a wearable device of the occupant. The method also includes comparing the seatbelt motion data with the wearable device motion data from a same period of time and identifying that the occupant is located at the seat in the vehicle based on a result of the comparison. The method may also include associating the occupant with the vehicle based on location information of the vehicle and location information of the wearable device of the occupant. Additionally, the method may include identifying personalization options for the occupant at the seat based on a user profile of the occupant in response to identifying that the occupant is located at the seat.

    SYSTEM AND METHOD FOR INTERACTIVE DIALOGUE

    公开(公告)号:US20230055991A1

    公开(公告)日:2023-02-23

    申请号:US17674258

    申请日:2022-02-17

    Abstract: A method includes receiving natural-language input from a user. The method also includes receiving, from an information source, one or more candidate recommendations as potential responses to the natural-language input. The method further includes determining, based on a similarity between the natural-language input and a selected candidate recommendation among the one or more candidate recommendations, whether to respond to the natural-language input with natural-language output that includes (i) the selected candidate recommendation or (ii) a query for additional user input. In addition, the method includes providing, based on the determination, the natural-language output to the user.

    DEEP REINFORCEMENT LEARNING-BASED MULTI-STEP QUESTION ANSWERING SYSTEMS

    公开(公告)号:US20200175046A1

    公开(公告)日:2020-06-04

    申请号:US16695641

    申请日:2019-11-26

    Inventor: Yu Wang Hongxia Jin

    Abstract: A method includes receiving a user query and performing, using at least one processor, multiple rounds of an answer generation process. Each round of the answer generation process includes selecting one of multiple functions to be performed based on an input state. The input state for each round includes an embedding of the user query in a feature space. The input state for at least one round also includes an embedding of information to be used to identify an answer to the user query in the feature space. Each round of the answer generation process also includes performing the selected function. The multiple functions include (i) an answer generation function that produces the answer to the user query and (ii) at least one additional function that updates the input state for a current round for use during a subsequent round. In addition, the method includes providing the answer to the user.

    MULTI-MODELS THAT UNDERSTAND NATURAL LANGUAGE PHRASES

    公开(公告)号:US20190332668A1

    公开(公告)日:2019-10-31

    申请号:US16390241

    申请日:2019-04-22

    Abstract: A system determines intent values based on an object in a received phrase, and detail values based on the object in the received phrase. The system determines intent state values based on the intent values and the detail values, and detail state values and an intent detail value based on the intent values and the detail values. The system determines other intent values based on the intent values and another object in the received phrase, and other detail values based on the detail values and the other object in the received phrase. The system determines a general intent value based on the other intent values, the other detail values, and the intent state values, and another intent detail value based on the other intent values, the other detail values, and the detail state values.

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