Results 91 to 100 of about 91,129 (293)
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
The aim of the paper is to show how useful a popular-science corpus can be to improve the inventory and description of terminological units in general-purpose dictionaries.
Amélie Josselin-Leray
doaj +1 more source
Evaluation of terminologies acquired from comparable corpora : an application perspective [PDF]
International audienceThis paper describes a protocol for the evaluation of bilingual terminologies acquired from comparable corpora. The aim of the protocol is to assess the terminologies'added-value in a task of specialized translation.
Delpech, Estelle
core +2 more sources
AI in chemical engineering: From promise to practice
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
The Extraction of Specialized Phraseological Units from Parallel and Comparable Corpora
This article aims at reporting the process of extraction of specialized phraseological units (SPUs) taken from a study corpus made up of articles of incorporation submitted to the process of sworn translation into English and from a comparable corpus ...
Adriane Orenha, Diva Cardoso de Camargo
doaj
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +1 more source
Asynchronous Training of Word Embeddings for Large Text Corpora
Word embeddings are a powerful approach for analyzing language and have been widely popular in numerous tasks in information retrieval and text mining.
Almuhareb A. +14 more
core +1 more source
Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer +3 more
wiley +1 more source
Blending Technologies and Translation Strategies to Optimise Learning Processes [PDF]
Ponencia presentada pendiente de que se pida para publicaciónTrainers should accept the growing dependence of learners, especially in the case of beginners, have on the use of translation tools and all kind of automatic resources to save time and also to
Postigo-Pinazo, Encarnacion
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source

