大连理工大学主页平台管理系统韩中洋--中文主页-- A Word Similarity Feature-based Semi-supervised Approach for Named Entity Recognition

当前位置: 中文主页 >> 科学研究 >> 论文成果

A Word Similarity Feature-based Semi-supervised Approach for Named Entity Recognition

点击次数：

发表时间：2022-10-05

发表刊物：PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEM SCIENCE AND ENGINEERING (ICSSE)

页面范围：136-141

ISSN号：2325-0925

发表时间：2022-10-05

上一条： A Spark-based Approach for High-efficiency Embedded Feature Selection

下一条： Multi-operation Conditions Prediction Based on Least Square Support Vector Machine for Blast Furnace Gas System in Steel Industry

韩中洋 (副教授)