Results 81 to 90 of about 8,270 (198)
Abstract The integration of artificial intelligence (AI) into biodiversity research and conservation is growing rapidly, demonstrating great potential in reducing the intensive human labour required for data preprocessing, thereby, facilitating larger data collections that offer ecological insights at unprecedented scales.
Zhongqi Miao +16 more
wiley +1 more source
AI Mimicry and Human Dignity: Chatbot Use as a Violation of Self‐Respect
ABSTRACT This article investigates how human interactions with AI‐powered chatbots may offend human dignity. Current chatbots, driven by large language models, mimic human linguistic behaviour but lack the moral and rational capacities essential for genuine interpersonal respect.
Jan‐Willem van der Rijt +2 more
wiley +1 more source
Research on a Dual‐Mode Human–Robot Interaction Method Based on a Large Language Model
ABSTRACT Current guide robot systems have two main issues: (1) they only support a single mode of interaction (proactive or reactive) and lack a coordination mechanism and (2) they rely heavily on predefined content, which hinders the realisation of a natural and flexible human‐like interaction experience. To address these issues, this paper proposes a
Jingjing Guo, Xi Han
wiley +1 more source
Document‐level (Doc‐level) event argument extraction (EAE) needs to deal with longer text inputs and complex semantic relationships than sentence‐level, making it a challenging information extraction task. Extracting event arguments from an entire document primarily faces two critical issues: (i) how to handle the long‐distance dependency between ...
Yiqing Song +5 more
wiley +1 more source
HDR‐SA: A Hybrid Deep Learning and RoBERTa‐Based Framework for Sentiment and Aspect Analysis
The ability to comprehend complex viewpoints in text is critical for sentiment analysis (SA), particularly at the aspect level, yet existing models struggle with accurately identifying sentiment polarities and aspect‐specific expressions due to their reliance on large, manually annotated, domain‐specific datasets.
Laxmi Pamulaparthy +2 more
wiley +1 more source
ABSTRACT Background For children with speech sound disorder (SSD), speech intervention often involves a considerable amount of home‐training, to achieve high‐enough training frequency to promote speech change. A digital speech‐training app has been developed that could serve as a cost‐effective means of providing accessible intervention to children ...
Sofia Strömbergsson +4 more
wiley +1 more source
Detection of APTs by Machine Learning: A Performance Comparison
ABSTRACT Recent advances in machine learning and deep learning have significantly impacted multiple domains, including computer vision, natural language processing and cybersecurity. In the context of increasingly sophisticated Advanced Persistent Threats (APTs), deep learning models have shown strong potential for network intrusion detection by ...
Marcos Luengo Viñuela +5 more
wiley +1 more source
Residually rationally solvable one‐relator groups
Abstract We show that the intersection of the rational derived series of a one‐relator group is rationally perfect and is normally generated by a single element. As a corollary, we characterise precisely when a one‐relator group is residually rationally solvable.
Marco Linton
wiley +1 more source
Coxeter's enumeration of Coxeter groups
Abstract In a short paper that appeared in the Journal of the London Mathematical Society in 1934, H. S. M. Coxeter completed the classification of finite Coxeter groups. In this survey, we describe what Coxeter did in this paper and examine an assortment of topics that illustrate the broad and enduring influence of Coxeter's paper on developments in ...
Bernhard Mühlherr, Richard M. Weiss
wiley +1 more source
Super-stationary set, subword problem and the complexity
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kamae, Teturo +3 more
openaire +2 more sources

