Active learning approach using a modified least confidence sampling strategy for named entity recognition

IF 2 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Progress in Artificial Intelligence Pub Date : 2021-01-19 DOI:10.1007/s13748-021-00230-w

Ankit Agrawal, Sarsij Tripathi, M. Vardhan

引用次数: 9

查看原文本刊更多论文

使用改进的最小置信度采样策略的主动学习方法用于命名实体识别

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Progress in Artificial Intelligence COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

9.70

自引率

0.00%

发文量

期刊介绍： This journal publishes top-level research results in all aspects of artificial intelligence, with a particular emphasis on the following topics: data mining; soft computing and computational intelligence; knowledge, complexity, logic, planning, reasoning and search; agents and multiagent systems; artificial vision and robotics; and natural language and Web intelligence.