Authors:
(1) Hanqing ZHAO, College of Traditional Chinese Medicine, Hebei University, Funded by National Natural Science Foundation of China (No.82004503) and Science and Technology Project of Hebei Education Department(BJK2024108) and a Corresponding Author ([email protected]);
(2) Yuehan LI, College of Traditional Chinese Medicine, Hebei University.
Table of Links
2. Materials and Methods
2.1 Experimental Data and 2.2 Conditional random fields mode
2.3 TF-IDF algorithm and 2.4 Dependency Parser Based on Neural Network
3 Experimental results
3.1 Results of word segmentation and entity recognition
3.2 Visualization results of related entity vocabulary map
3.3 Results of dependency parsing
5 References
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This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license.
