Results 161 to 170 of about 2,548,691 (245)
Respectful Debiasing in Democratic Deliberation
ABSTRACT Democratic deliberation about health policy requires, as one of its inputs, ethical judgments from members of the public. These judgments may, however, be biased and unreliable—they may be systematically distorted by framing and emotion effects, by the effects of self‐interest, and by a whole host of other cognitive and affective biases ...
Shang Long Yeo
wiley +1 more source
ManyBabies 3: A Multi‐Lab Study of Infant Algebraic Rule Learning
ABSTRACT The ability to learn and apply rules lies at the heart of cognition. In a seminal study, Marcus et al. (1999) reported that 7‐month‐old infants learned abstract rules over syllable sequences and were able to generalize those rules to novel syllable sequences.
Ingmar Visser +83 more
wiley +1 more source
Dutch Word Sense Disambiguation:
We describe a new version of the Dutch word sense disambiguation system trained and tested on a corrected version of the SENSEVAL-2 data. The system is an ensemble of word experts; each word expert is a memory-based classifier of which the ...
Optimizing The Localness +2 more
core
ArGemma: A Multi‐Task Fine‐Tuning Framework for Adapting Gemma to Arabic
ABSTRACT Open‐source large language models (LLMs) have significantly advanced natural language processing (NLP), particularly for English. However, their performance in Arabic has remained limited due to the scarcity of high‐quality datasets and the high computational cost of full fine‐tuning.
Taha Alselwi +2 more
wiley +1 more source
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
Applying active learning to supervised word sense disambiguation in MEDLINE. [PDF]
Chen Y, Cao H, Mei Q, Zheng K, Xu H.
europepmc +1 more source
A Bibliometric Review and Visualization of Research Progress in Computational Modeling for Biofuels
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
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
Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Word Sense Classes
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
Utterance evolution: the road to generative, combinatorial communicators
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

