Results 51 to 60 of about 12,623 (228)
Automatic classification method of coal mine safety hidden danger informatio
Gong-kuang zidonghua, 2018 Manual classification method is difficult to meet classification requirements of massive coal mine safety hidden danger information, and automatic text classification method based on probability statistics has low classification accuracy rate. In view of
XIE Binhong +3 more
doaj +1 more source
Neural Language Models for Nineteenth-Century English
Journal of Open Humanities Data, 2021 We present four types of neural language models trained on a large historical dataset of books in English, published between 1760 and 1900, and comprised of ≈5.1 billion tokens.
Kasra Hosseini +3 more
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Advanced Materials, EarlyView.Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
The parameter setting of word2vec.
, 2022 The parameter setting of word2vec.
Yilan Qi (12152837), Jun He (46556)
core +1 more source
Advanced Intelligent Discovery, EarlyView.With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley +1 more source
A framework of design concept generation framework with operations on extensional conceptual space
Nihon Kikai Gakkai ronbunshu, 2022 In the conceptual design phase, generating novel concepts is a cornerstone for producing innovative products. This paper proposes a framework for design concept generation with an extensional conceptual space (ECS).
Yutaka NOMAGUCHI +3 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui +2 more
wiley +1 more source
DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information
Applied Sciences, 2020 Word embedding is an important reference for natural language processing tasks, which can generate distribution presentations of words based on many text data.
Shengwen Li +5 more
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Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna +2 more
wiley +1 more source
Automatic Classifying of Requirements-Relevant Contents From App Reviews in the Arabic Language
IEEE Open Journal of the Computer SocietyThe market for mobile application development continues to thrive with billions of users and millions of apps. Collecting software requirements for mobile apps has to cope with this trend, so as for the software to compete in this crowded scene ...
Abualsoud A. Hanani +2 more
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