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Natural Language Processing: State of The Art, Current Trends and Challenges - 2017

Natural Language Processing: State Of The Art, Current Trends And Challenges

Research Paper on Natural Language Processing: State Of The Art, Current Trends And Challenges

Research Area:  Machine Learning

Abstract:

Natural language processing (NLP) has recently gained much attention for representing and analysing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answering etc. The paper distinguishes four phases by discussing different levels of NLP and components of Natural Language Generation (NLG) followed by presenting the history and evolution of NLP, state of the art presenting the various applications of NLP and current trends and challenges.

Keywords:  
Natural Language Processing
Natural Language Generation
machine translation
email spam detection
information extraction
summarization
medical
question answering
Machine Learning
Deep Learning

Author(s) Name:  Diksha Khurana, Aditya Koli, Kiran Khatter, Sukhdev Singh

Journal name:  Computer Science

Conferrence name:  

Publisher name:  arXiv:1708.05148

DOI:  10.48550/arXiv.1708.05148

Volume Information: