SIFRANK Algorithm for Chinese Text Keyword Extraction Based on Dependent Semantic Feature Constraints

The SIFRANK algorithm uses part-of-speech TAG to extract noun phrases as candidate sets for keyword extraction, and then uses the pre-trained ELMo model to obtain the semantic vectors of the current sentence and candidate phrases respectively, and measures the semantic similarity of the two to obtai...

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Bibliographic Details
Main Authors: Zhang, Qian, Wang, Tiancheng, Zhu, Mengyuan, Shen, Tao, Zhao, Yilin, Zhang, Yunwei
Format: Conference Proceeding
Language:English
Subjects:
Compounds
Current measurement
Dependency Syntactic Parsing
Feature extraction
Industrial electronics
Keyword Extraction
Semantics
SIFRank
Syntactics
Task analysis
Online Access:Request full text
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