Named entity recognition on different languages: A survey

Textual Information availability is increasing from day to day on the web, there is a need for tools and techniques for extracting meaningful information from the available text. Named Entity Recognition and Classification (NERC) is the task to identify the predefined class members Such as names of...

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Bibliographic Details
Main Authors: Reddy, B. Veerasekhar, Rao, K. Srinivas, Neeraja, K.
Format: Conference Proceeding
Language:English
Subjects:
Availability
Languages
Recognition
Online Access:Get full text
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Summary:Textual Information availability is increasing from day to day on the web, there is a need for tools and techniques for extracting meaningful information from the available text. Named Entity Recognition and Classification (NERC) is the task to identify the predefined class members Such as names of the persons, organizations, places, location, date and time, etc. A no. of Approaches have been proposed by different Researchers for different types of entities extraction from the available data of different languages. Still, there is much more interest for the researchers to develop more new approaches for the extraction of entities from the different languages. In this article, a survey on the different NERC Approaches has presented.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0113210