Invention Grant
- Patent Title: Natural language processing using context-specific word vectors
-
Application No.: US17027130Application Date: 2020-09-21
-
Publication No.: US11409945B2Publication Date: 2022-08-09
- Inventor: Bryan McCann , Caiming Xiong , Richard Socher
- Applicant: salesforce.com, inc.
- Applicant Address: US CA San Francisco
- Assignee: salesforce.com, inc.
- Current Assignee: salesforce.com, inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes and Boone, LLP
- Main IPC: G06F40/126
- IPC: G06F40/126 ; G06N3/08 ; G06N3/04 ; G06F40/30 ; G06F40/47 ; G06F40/205 ; G06F40/289 ; G06F40/44 ; G06F40/58

Abstract:
A system is provided for natural language processing. In some embodiments, the system includes an encoder for generating context-specific word vectors for at least one input sequence of words. The encoder is pre-trained using training data for performing a first natural language processing task. A neural network performs a second natural language processing task on the at least one input sequence of words using the context-specific word vectors. The first natural language process task is different from the second natural language processing task and the neural network is separately trained from the encoder. In some embodiments, the first natural processing task can be machine translation, and the second natural processing task can be one of sentiment analysis, question classification, entailment classification, and question answering.
Public/Granted literature
- US20210073459A1 NATURAL LANGUAGE PROCESSING USING CONTEXT-SPECIFIC WORD VECTORS Public/Granted day:2021-03-11
Information query