Results 81 to 90 of about 1,400,670 (295)
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari +6 more
wiley +1 more source
Zero-Shot Prompting Strategies for Table Question Answering with a Low-Resource Language
This work explores the application of zero-shot prompting strategies for table question answering (TQA) in Portuguese, focusing specifically on the Text2SQL task.
Marcelo Jannuzzi +4 more
doaj +1 more source
Grounding Language for Transfer in Deep Reinforcement Learning
In this paper, we explore the utilization of natural language to drive transfer for reinforcement learning (RL). Despite the wide-spread application of deep RL techniques, learning generalized policy representations that work across domains remains a ...
Barzilay, Regina +2 more
core +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Transport companies face the dual challenge of addressing transparency issues in communicating their potential role in environmental disasters while cultivating trust with stakeholders.
Marina Bondi, Jessica Jane Nocella
doaj +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
DO MORPHOLOGICAL FEATURES AFFECT THE COGNITIVE PROCESSING OF DEVERBAL NOMINALS IN SERBIAN?
The aim of this study was to examine whether different morphological characteristics of Serbian deverbal nominals affect their lexical processing.
Isidora Gatarić +2 more
doaj +1 more source
Examining the Stimulus Cross-Splicing Method on Auditory Experiments in Turkish
To explain how the language system in the brain is temporally processed, the results of both brain and linguistics researches are required to be interpreted together.
İpek Pınar Bekar
doaj +1 more source
SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta +3 more
wiley +1 more source
Introduction to double issue 41.1–2 on Features
This special double issue (41.1 and 41.2) contains 11 articles on the formal properties of linguistic feature systems, all of which were presented at a conference in Tromsø in the fall of 2013. The issue was jointly edited by Martin Krämer, Sandra Ronai,
Peter Svenonius, Martin Krämer
doaj +3 more sources

