自然语言处理技术的现状-使用自然语言处理技术的自然语言处理文献的系统自动回顾

IF 1.3 3区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Data Intelligence Pub Date : 2023-07-03 DOI:10.1162/dint_a_00213

Jan Sawicki, M. Ganzha, M. Paprzycki

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引用次数: 1

摘要

如今，自然语言处理(NLP)是人工智能中最受欢迎的、被广泛理解的领域之一。因此，每天都有新的研究成果发布，例如，发布到arXiv知识库。因此，捕捉当前的“领域状态”并进入它是相当困难的。这带来了id-art NLP技术来分析以NLP为重点的文献。因此，(1)获取了有关NLP现状的元级知识;(2)提供了基本NLP工具的使用指南。值得注意的是，本贡献中描述的所有工具和数据集都是公开的。此外，这项审查的独创性在于其完全自动化。随着NLP领域的新研究的出现，这使得本研究在未来的可重复性和延续和更新变得容易。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The State of the Art of Natural Language Processing—A Systematic Automated Review of NLP Literature Using NLP Techniques

ABSTRACT Nowadays, natural language processing (NLP) is one of the most popular areas of, broadly understood, artificial intelligence. Therefore, every day, new research contributions are posted, for instance, to the arXiv repository. Hence, it is rather difficult to capture the current “state of the field” and thus, to enter it. This brought the id-art NLP techniques to analyse the NLP-focused literature. As a result, (1) meta-level knowledge, concerning the current state of NLP has been captured, and (2) a guide to use of basic NLP tools is provided. It should be noted that all the tools and the dataset described in this contribution are publicly available. Furthermore, the originality of this review lies in its full automation. This allows easy reproducibility and continuation and updating of this research in the future as new researches emerge in the field of NLP.

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来源期刊

Data Intelligence COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

6.50

自引率

15.40%

发文量

审稿时长

8 weeks