Natural language processing: state of the art, current trends and challenges

Natural language processing (NLP) has recently gained much attention for representing and analyzing human language computationally. It has spread its applications in various fields such as machine translation, email spam detection, information extraction, summarization, medical, and question answeri...

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Veröffentlicht in:Multimedia tools and applications Jg. 82; H. 3; S. 3713 - 3744
Hauptverfasser: Khurana, Diksha, Koli, Aditya, Khatter, Kiran, Singh, Sukhdev
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.01.2023
Springer Nature B.V
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ISSN:1380-7501, 1573-7721
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Zusammenfassung:Natural language processing (NLP) has recently gained much attention for representing and analyzing 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. In this paper, we first distinguish four phases by discussing different levels of NLP and components of N atural L anguage G eneration followed by presenting the history and evolution of NLP. We then discuss in detail the state of the art presenting the various applications of NLP, current trends, and challenges. Finally, we present a discussion on some available datasets, models, and evaluation metrics in NLP.
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ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-022-13428-4