Results 151 to 160 of about 2,548,688 (244)
Applied AI Letters, Volume 7, Issue 3, October 2026.The proposed model takes an imbalanced English dataset as input and balances it by Generating Synthetic Tweets (GST) using GPT‐based paraphrasing. These new tweets are then annotated with one of 10 categorical labels representing their primary meaning, using another large language model like GPT.
Hossein Nekouei +1 more
wiley +1 more source
A Bibliometric Review and Visualization of Research Progress in Computational Modeling for Biofuels
Applied Research, Volume 5, Issue 5, October 2026.This bibliometric mapping of biomass‐to‐biofuel computational modeling research (2003–2025) traces the field's rapid growth, key contributors, and international collaboration networks, revealing a decisive shift toward multiscale, hybrid, and AI‐enabled modeling as the field's next frontier for sustainable biofuel production. ABSTRACT The conversion of
Rana Sohaib Ahmad +5 more
wiley +1 more source
Applying active learning to supervised word sense disambiguation in MEDLINE. [PDF]
J Am Med Inform Assoc, 2013 Chen Y, Cao H, Mei Q, Zheng K, Xu H.
europepmc +1 more source
Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1271-1286, October 2026.Abstract Content‐based citation analysis seeks to capture the meaning and functions of citations but continues to face unresolved methodological challenges. This study analyzes a stratified sample of library and information science publications to examine how citance segmentation and annotator expertise influence the consistency of classification ...
Zehra Taşkın
wiley +1 more source
Utterance evolution: the road to generative, combinatorial communicators
Biological Reviews, Volume 101, Issue 5, Page 2427-2447, October 2026.ABSTRACT Language has long been considered uniquely complex in the animal kingdom; however, animal research over the last decade has begun to challenge some long‐standing premises about exactly which language capacities are uniquely human. The task of resolving why and how complex communication systems evolve, particularly human language, has ...
Catherine Crockford +2 more
wiley +1 more source
Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Word Sense Classes
, 2008 Learning word sense classes has been shown to be useful in fine-grained word sense disambiguation [Kohomban and Lee, 2005]. However, the common choice for sense classes, WordNet lexicographer files, are not designed for machine learning based word sense ...
core
Developmental Neurobiology, Volume 86, Issue 4, October 2026.ABSTRACT Individuals with fetal alcohol spectrum disorders exhibit impaired auditory processing and atypical auditory behaviors across the disorder's spectrum. Although low to moderate prenatal alcohol exposure (PAE) is a prevalent type of exposure, the developmental trajectory of auditory processing deficits resulting from this level of exposure ...
Michael Douchey +3 more
wiley +1 more source
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods. [PDF]
J Am Med Inform Assoc, 2014 Chasin R +3 more
europepmc +1 more source
, 2007 We present comparative empirical evidence arguing that a generalized phrase sense disambiguation approach better improves statistical machine translation than ordinary word sense disambiguation, along with a data analysis suggesting the reasons for this.
WU, Dekai
core
Methods in Ecology and Evolution, Volume 17, Issue 10, Page 3006-3018, October 2026.Abstract Hundreds of thousands of peer‐reviewed articles and grey‐literature reports appear each year in ecology and conservation, creating a pressing need for scalable synthesis tools. We demonstrate that transformer‐based Large Language Models (LLMs), when embedded within a practical, expert‐in‐the‐loop pipeline, offer a reliable path forward ...
Sruthi M. Krishna Moorthy +4 more
wiley +1 more source