Invention Grant
- Patent Title: Deep reinforcement learning-based multi-step question answering systems
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Application No.: US16695641Application Date: 2019-11-26
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Publication No.: US11573991B2Publication Date: 2023-02-07
- Inventor: Yu Wang , Hongxia Jin
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Main IPC: G06F16/33
- IPC: G06F16/33 ; G06F16/338 ; G06N3/08 ; G06K9/62 ; G06N3/04 ; G06F16/35

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.
Public/Granted literature
- US20200175046A1 DEEP REINFORCEMENT LEARNING-BASED MULTI-STEP QUESTION ANSWERING SYSTEMS Public/Granted day:2020-06-04
Information query