Semi-Supervised Chinese Word Segmentation in Geological Domain Using Pseudo-Lexicon and Self-Training Strategy.

Saved in:
Bibliographic Details
Title: Semi-Supervised Chinese Word Segmentation in Geological Domain Using Pseudo-Lexicon and Self-Training Strategy.
Authors: Wan, Bo1,2, wanbo@cug.edu.cn, Tan, Zhuo1, tanzhuo@cug.edu.cn, Chu, Deping3, chudeping_2019@cug.edu.cn, Dai, Yan1, nessiedai@cug.edu.cn, Fang, Fang1,2, fangfang@cug.edu.cn, Wu, Yan4, steve_yw@foxmail.com
Source: Applied Sciences (2076-3417); Feb2025, Vol. 15 Issue 3, p1404, 18p
Database: Applied Science & Technology Source
Full text is not displayed to guests.
Description
ISSN:20763417
DOI:10.3390/app15031404