Research Area: Machine Learning
Named Entity Recognition (NER) is a critical job in machine learning that automatically recognizes and explains Named Things in writing, such as an Individual, a Position, or an Association. NER has played a critical role in numerous applications, including information removal and recovery, machine transformation, question answering (Q–A), and writing summarization. While much research has been conducted on NER in Hindi, no instrument with high accuracy has been created yet, as per the Literature Review. Developing a NER system for Hindi is very difficult due to the language-s ambiguity, morphological richness, and resource scarcity. We provide a state-of-the-art review of different natural language processing methods (NER) for the primary language of Hindi in this article.
Keywords:
Named Entity Recognition
Machine Learning
Deep Learning
Author(s) Name: Rita Shelke & Sandeep Vanjale
Journal name:
Conferrence name: Proceedings of Second International Conference in Mechanical and Energy Technology
Publisher name: Springer
DOI: 10.1007/978-981-19-0108-9_35
Volume Information: pp 333–340
