Preface: Special issue on NLP approaches to offensive content online

IF 2.3 3区计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Natural Language Engineering Pub Date : 2023-12-06 DOI:10.1017/s1351324923000499

Marcos Zampieri, Isabelle Augenstein, Siddharth Krishnan, Joshua Melton, Preslav Nakov

引用次数: 0

Abstract

We are delighted to present the Special Issue on NLP Approaches to Offensive Content Online published in the Journal of Natural Language Engineering issue 29.6. We are happy to have received a total of 26 submissions to the special issue evidencing the interest of the NLP community in this topic. Our guest editorial board comprised of international experts in the field has worked hard to review all submissions over multiple rounds of peer review. Ultimately, we accepted nine articles to appear in this special issue.

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序言:关于网络攻击性内容的NLP方法的特刊

我们很高兴在《自然语言工程杂志》第29.6期上发表关于在线攻击性内容的NLP方法的特刊。我们很高兴总共收到了26份对特刊的提交，证明了NLP社区对这个主题的兴趣。我们的客座编辑委员会由该领域的国际专家组成，经过多轮同行评审，努力审查所有提交的材料。最终，我们接受了9篇文章刊登在这期特刊上。

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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来源期刊

Natural Language Engineering COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-

CiteScore

5.90

自引率

12.00%

发文量

审稿时长

>12 weeks

期刊介绍： Natural Language Engineering meets the needs of professionals and researchers working in all areas of computerised language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics - from text analysis, machine translation, information retrieval and speech analysis and generation to integrated systems and multi modal interfaces - it also publishes special issues on specific areas and technologies within these topics, an industry watch column and book reviews.