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Natural Language Engineering (NLE)

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영향력 지수:
1.9
출판사:
Cambridge University Press
ISSN:
1351-3249
조회:
32602
팔로우:
17

논문 모집

Natural Language Engineering (NLE) is an academic journal published by Cambridge University Press. (ISSN 1351-3249, impact factor 1.9, CCF C).

Natural Language Processing (previously Natural Language Engineering) is an open access journal which meets the needs of professionals and researchers working in all areas of natural language processing (NLP). Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. The journal publishes original research articles on a broad range of methods and resources applied in NLP, language processing tasks and NLP applications, including (but not limited to) machine translation, translation technology, sentiment analysis, information retrieval, question answering, text summarisation, text simplification, and speech processing. Natural Language Processing invites novel studies employing the latest deep learning methods and large language models. It encourages submissions reporting the findings from multilingual and low-resourced language projects. The journal publishes special issues on timely NLP topics of wide interest as well as squibs and book reviews. It welcomes survey papers describing the state of the art of a specific topic. Natural Language Processing also features the popular Industry Watch and Emerging Trends columns.
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Robotica2.7Cambridge University Press0263-5747
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ABioinformatics5.4Oxford University Press1367-4803
BThe Computer Journal1.5Oxford University Press0010-4620
Knowledge Engineering ReviewCambridge University Press0269-8889
Journal of Cybersecurity3.2Oxford University Press2057-2093

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