{"title":"RETRACTION: Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning","authors":"","doi":"10.1111/exsy.13795","DOIUrl":null,"url":null,"abstract":"<p>\n \n <b>RETRACTION</b>: <span>Z. Li</span>, <span>Q. Wang</span>, <span>J.-Q. Wang</span>, <span>H.-B. Qu</span>, <span>J. Dong</span>, and <span>Z. Dong</span>, \" <span>Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning</span>,” <i>Expert Systems</i> <span>41</span>, no. <span>6</span> (<span>2024</span>): e13211, https://doi.org/10.1111/exsy.13211.\n </p><p>The above article, published online on 28 December 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd.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 accepted on the basis of a compromised peer review process. The editors have therefore decided to retract this article. The authors were informed of the decision to retract but were unavailable for comment.</p>","PeriodicalId":51053,"journal":{"name":"Expert Systems","volume":"42 2","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/exsy.13795","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/exsy.13795","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
RETRACTION: Z. Li, Q. Wang, J.-Q. Wang, H.-B. Qu, J. Dong, and Z. Dong, " Elstm: An Improved Long Short-term Memory Network Language Model for Sequence Learning,” Expert Systems41, no. 6 (2024): e13211, https://doi.org/10.1111/exsy.13211.
The above article, published online on 28 December 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the journal Editor-in-Chief, David Camacho; and John Wiley & Sons Ltd.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 accepted on the basis of a compromised peer review process. The editors have therefore decided to retract this article. The authors were informed of the decision to retract but were unavailable for comment.
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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