Results 51 to 60 of about 6,791 (190)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Optimizing word embeddings for small datasets: a case study on patient portal messages from breast cancer patients

Scientific Reports
Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research.
Qingyuan Song, Congning Ni, Jeremy L. Warner, Qingxia Chen, Lijun Song, S. Trent Rosenbloom, Bradley A. Malin, Zhijun Yin   +7 more
doaj   +1 more source

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, MA Fei, PAN Lihu, ZHANG Yingjun   +3 more
doaj   +1 more source

Hoax Detection System on Twitter using Feed-Forward and Back-Propagation Neural Networks Classification Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2020
Social media is one of the ways to connect every individual in the world. It also used by irresponsible people to spread a hoax. Hoax is false news that is made as if it is true. It may cause anxiety and panic in society.
Crisanadenta Wintang Kencana, Erwin Budi Setiawan, Isman Kurniawan   +2 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

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, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +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, Kaspar Beelen, Giovanni Colavizza, Mariona Coll Ardanuy   +3 more
doaj   +1 more source

Autonomous Leadership: How Board Independence Shapes Machine Learning Based Corporate Culture in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate culture is a critical driver of corporate social responsibility, shaping how firms internalize sustainability, social and environmental concerns, yet its governance antecedents are less understood. Motivated by the need to understand how governance structures affect organizational values and behavior, we explore the relationship ...
Sirimon Treepongkaruna, Stefano Starita
wiley   +1 more source

Tracking Climate and Environmental Attention: A News‐Based Composite Index

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca, Andrea Fronzetti Colladon, Barbara Guardabascio, Ludovica Segneri   +3 more
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, Koki SHODA, Tomoya TACHIBANA, Kikuo FUJITA   +3 more
doaj   +1 more source

Combating ESG Greenwashing Through AI Models: Evidence From Disaggregated AI Technologies, Mechanisms, and Thresholds

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, Hamid Ghazi H. Sulimany, Abdulrahman Atllah Alharbi   +2 more
wiley   +1 more source