Named Entity Recognition: A Review for Key Information Extraction

被引:0
作者
Nandini, P. [1 ]
Jairam, Bhat Geetalaxmi [2 ]
机构
[1] Natl Inst Engn, Dept Comp Sci & Engn, Mysore, Karnataka, India
[2] Natl Inst Engn, Dept Informat Sci & Engn, Mysore, Karnataka, India
来源
THIRD CONGRESS ON INTELLIGENT SYSTEMS, CIS 2022, VOL 1 | 2023年 / 608卷
关键词
Information extraction; Named entity recognizers; Various classifications;
D O I
10.1007/978-981-19-9225-4_32
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Named structure identification is the venture to perceive hints of the flexible indicator from textual context attached to prearranged denotation types which include the company, person, location, and many others. Named structure identification usually gives out the inspiration to lots of natural dialects packages like answering questions, summarization of text, and translation of devices. This paper makes an immense survey of variously named entity recognizers in contrast with some of observation which gives statements on previous work from the belief of interest currently supported dialects and adopted documentary genre concern. In addition, some of the approaches are suggested for highlighting the named structure recognition and its classification (NERC) based on the machine learning concepts.
引用
收藏
页码:427 / 437
页数:11
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