Invention Grant
- Patent Title: Interpretable label-attentive encoder-decoder parser
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Application No.: US16810345Application Date: 2020-03-05
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Publication No.: US11544456B2Publication Date: 2023-01-03
- Inventor: Khalil Mrini , Walter Chang , Trung Bui , Quan Tran , Franck Dernoncourt
- Applicant: ADOBE INC.
- Applicant Address: US CA San Jose
- Assignee: ADOBE INC.
- Current Assignee: ADOBE INC.
- Current Assignee Address: US CA San Jose
- Agency: F. Chau & Associates, LLC
- Main IPC: G06F40/211
- IPC: G06F40/211 ; G06N3/04 ; G06N3/08

Abstract:
Systems and methods for parsing natural language sentences using an artificial neural network (ANN) are described. Embodiments of the described systems and methods may generate a plurality of word representation matrices for an input sentence, wherein each of the word representation matrices is based on an input matrix of word vectors, a query vector, a matrix of key vectors, and a matrix of value vectors, and wherein a number of the word representation matrices is based on a number of syntactic categories, compress each of the plurality of word representation matrices to produce a plurality of compressed word representation matrices, concatenate the plurality of compressed word representation matrices to produce an output matrix of word vectors, and identify at least one word from the input sentence corresponding to a syntactic category based on the output matrix of word vectors.
Public/Granted literature
- US20210279414A1 INTERPRETABLE LABEL-ATTENTIVE ENCODER-DECODER PARSER Public/Granted day:2021-09-09
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