RETRACTION: A Predictive Typological Content Retrieval Method for Real-time Applications Using Multilingual Natural Language Processing

IF 3 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Expert Systems Pub Date : 2024-10-15 DOI:10.1111/exsy.13752
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引用次数: 0

Abstract

RETRACTION: S. Baskar, S. Dhote, T. Dhote, G. Jayanandini, D. Akila and S. Doss, “ A Predictive Typological Content Retrieval Method for Real-time Applications Using Multilingual Natural Language Processing,” Expert Systems 41, no. 6 (2024): e13172, https://doi.org/10.1111/exsy.13172.

The above article, published online on 28 October 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd. The article was submitted as part of a guest-edited special issue. Following publication, it has come to the attention of the journal that this article was not reviewed in line with the journal's peer review standards. The editors have therefore decided to retract this article. The authors disagree with the retraction.

RETRACTION:使用多语种自然语言处理的实时应用预测性类型学内容检索方法
撤回:S. Baskar、S. Dhote、T. Dhote、G. Jayanandini、D. Akila 和 S. Doss," A Predictive Typological Content Retrieval Method for Real-time Applications Using Multilingual Natural Language Processing," Expert Systems 41,no. 6 (2024):e13172,https://doi.org/10.1111/exsy.13172。 上述文章于 2022 年 10 月 28 日在线发表于 Wiley Online Library (wileyonlinelibrary.com),经期刊主编大卫-卡马乔(David Camacho)与 John Wiley & Sons Ltd.(John Wiley & Sons Ltd.)协商,已被撤回。这篇文章是作为特邀编辑特刊的一部分提交的。文章发表后,本刊注意到这篇文章没有按照本刊的同行评审标准进行评审。因此,编辑决定撤回这篇文章。作者不同意撤稿。
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
Expert Systems
Expert Systems 工程技术-计算机:理论方法
CiteScore
7.40
自引率
6.10%
发文量
266
审稿时长
24 months
期刊介绍: Expert Systems: The Journal of Knowledge Engineering publishes papers dealing with all aspects of knowledge engineering, including individual methods and techniques in knowledge acquisition and representation, and their application in the construction of systems – including expert systems – based thereon. Detailed scientific evaluation is an essential part of any paper. As well as traditional application areas, such as Software and Requirements Engineering, Human-Computer Interaction, and Artificial Intelligence, we are aiming at the new and growing markets for these technologies, such as Business, Economy, Market Research, and Medical and Health Care. The shift towards this new focus will be marked by a series of special issues covering hot and emergent topics.
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