Results 161 to 170 of about 2,548,691 (245)

Respectful Debiasing in Democratic Deliberation

open access: yesBioethics, Volume 40, Issue 9, Page 1075-1083, November 2026.
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

open access: yesDevelopmental Science, Volume 29, Issue 6, November 2026.
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:

open access: yes, 2007
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

open access: yesExpert Systems, Volume 43, Issue 11, November 2026.
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

Sentiment Analysis of Imbalanced Dataset Through Data Augmentation and Generative Annotation Using DistilBERT and Low‐Rank Fine‐Tuning

open access: yesApplied 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

Applying active learning to supervised word sense disambiguation in MEDLINE. [PDF]

open access: yesJ Am Med Inform Assoc, 2013
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

open access: yesApplied 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

Methodological challenges in content‐based citation analysis: Expertise, reliability, and the primacy of citance identification

open access: yesJournal 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

Optimizing Classifier Performance in Word Sense Disambiguation by Redefining Word Sense Classes

open access: yes, 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  

Utterance evolution: the road to generative, combinatorial communicators

open access: yesBiological 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

Home - About - Disclaimer - Privacy