Generate Keyphrases by Combining Hidden Context and Word Context
Authors: 
Tianshuo Huang, 
Lei ZhangAuthors Info & Claims
Pages 300 - 304
Abstract
As the network develops, highly generalized indexing information becomes more and more important. Keyphrases are multiple words that can simply summarize the semantics of an article. Keyphrase generation is the basis for many natural language processing tasks. Although there are many tasks for keyword generation, they consider hidden layer information and almost ignore each independent word information in the source text. So we attach word-level information to the model and combine this information with hidden layer information. Experimental results show that our model can effectively improve the accuracy of the generated keyphrases.
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- Generate Keyphrases by Combining Hidden Context and Word Context
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Published In
June 2020
383 pages
ISBN:9781450376877
DOI:10.1145/3408127
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- University of Electronic Science and Technology of China: University of Electronic Science and Technology of China
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 10 September 2020
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ICDSP 2020
ICDSP 2020: 2020 4th International Conference on Digital Signal Processing
June 19 - 21, 2020
Chengdu, China
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