公开(公告)号：US11200885B1

公开(公告)日：2021-12-14

申请号：US16219228

申请日：2018-12-13

Applicant: Amazon Technologies, Inc.

Inventor： Arindam Mandal ,  Nikko Strom ,  Angeliki Metallinou ,  Tagyoung Chung ,  Dilek Hakkani-Tur ,  Suranjit Adhikari ,  Sridhar Yadav Manoharan ,  Ankita De ,  Qing Liu ,  Raefer Christopher Gabriel ,  Rohit Prasad

IPC: G10L15/22 ,  G10L21/00 ,  G10L15/06 ,  G10L15/18 ,  G06F16/332

Abstract: A dialog manager receives text data corresponding to a dialog with a user. Entities represented in the text data are identified. Context data relating to the dialog is maintained, which may include prior dialog, prior API calls, user profile information, or other data. Using the text data and the context data, an N-best list of one or more dialog models is selected to process the text data. After processing the text data, the outputs of the N-best models are ranked and a top-scoring output is selected. The top-scoring output may be an API call and/or an audio prompt.

公开(公告)号：US12159628B1

公开(公告)日：2024-12-03

申请号：US17547947

申请日：2021-12-10

Applicant: Amazon Technologies, Inc.

Inventor： Amitabh Saikia ,  Devesh Mohan Pandey ,  Tagyoung Chung ,  Shanchan Wu ,  Chien-Wei Lin ,  Govindarajan Sundaram Thattai ,  Aishwarya Naresh Reganti ,  Arindam Mandal ,  Prakash Krishnan ,  Raefer Christopher Gabriel ,  Meyyappan Sundaram

IPC: G10L15/183 ,  G10L13/027 ,  G10L15/08

Abstract: Techniques for facilitating natural language interactions with visual interactive content are described. During a build time, a system analyzes various websites and applications relating to a particular user goal to understand website and application navigation and information relating to the user goal. The learned information is used to store configuration data. During runtime, when a user request performance of an action, the system engages in a dialog with the user to complete the user's goal. The system uses the stored configuration data to determine actions to be performed at a website or application to complete the user's goal, and determines system responses to present to the user to facilitate completion of the goal. Such system responses may request information from the user, may inform the user of information displayed at the website or application, etc.

公开(公告)号：US11194973B1

公开(公告)日：2021-12-07

申请号：US16363363

申请日：2019-03-25

Applicant: Amazon Technologies, Inc.

Inventor： Rahul Goel ,  Chandra Prakash Khatri ,  Tagyoung Chung ,  Raefer Christopher Gabriel ,  Anushree Venkatesh ,  Behnam Hedayatnia ,  Sanghyun Yi

IPC: G06F40/35 ,  G10L15/26 ,  G06F40/289 ,  H04L12/58 ,  G06N20/00

Abstract: A system that can engage in a dialog with a user may select a system response to a user input based on how the system estimates a user may respond to a potential system response. Models may be trained to evaluate a potential system response in view of various available data including dialog history, entity data, etc. Each model may score the potential system response for various qualitative aspects such as whether the response is likely to be comprehensible, on-topic, interesting, likely to lead to the dialog continuing, etc. Such scores may be combined to other scores such as whether the potential response is coherent or engaging. The models may be trained using previous dialog/chatbot evaluation data. At runtime the scores may be used to select a system response to a user input as part of the dialog.