Results 101 to 110 of about 35,833 (287)
Uyghur is an agglutinative and a morphologically rich language; natural language processing tasks in Uyghur can be a challenge. Word morphology is important in Uyghur part-of-speech (POS) tagging.
Maihemuti Maimaiti +3 more
doaj +1 more source
Word sense disambiguation criteria: a systematic study
This article describes the results of a systematic in-depth study of the criteria used for word sense disambiguation. Our study is based on 60 target words: 20 nouns, 20 adjectives and 20 verbs.
Audibert, Laurent
core +2 more sources
Abstract Aims The current study measured the extent to which different neurobehavioral indices of incentive‐motivational salience attribution to alcohol cues predict alcohol craving and consumption in the natural environment. Design, setting, and participants Laboratory study at a university in Missouri, USA, followed by a smartphone‐based 21‐day ...
Roberto U. Cofresí +4 more
wiley +1 more source
Semantic Features for Optimizing Supervised Approach of Sentiment Analysis on Product Reviews
The growth of ecommerce has triggered online reviews as a rich source of product information. Revealing consumer sentiment from the reviews through Sentiment Analysis (SA) is an important task of online product review analysis.
Bagus Setya Rintyarna +2 more
doaj +1 more source
Neural Collective Entity Linking
Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independently, which may usually fail due to ...
Cao, Yixin +3 more
core
ABSTRACT This study examines how individuals accept and navigate paradoxical tensions within a sustainability context, using a multiple case study of five Italian companies implementing circularity measurement tools. By exploring the interplay between self‐efficacy and acceptance of paradoxical tensions, drawing upon the Goal Setting and Paradox ...
Alice Alosi +4 more
wiley +1 more source
Word Sense Disambiguation by Web Mining for Word Co-occurrence Probabilities [PDF]
This paper describes the National Research Council (NRC) Word Sense Disambiguation (WSD) system, as applied to the English Lexical Sample (ELS) task in Senseval-3.
Turney, Peter D.
core +2 more sources
Digitizing Dignity: Analyzing Digital Twins Through the Lens of Multidimensional Human Dignity
ABSTRACT In precision medicine, digital twins—virtual models of patients created using personalized data and advanced machine learning—are potentially changing healthcare by predicting health outcomes and guiding medical decisions. However, their use raises complex ethical questions, particularly concerning their relationship to human dignity. Patients
Andrew J. Barnhart
wiley +1 more source
This study presents a novel deep learning framework for classifying visual images based on brain responses recorded through electroencephalogram (EEG) signals.
Ahmed Fares
doaj +1 more source
A Natural Language Processing Environment for Rule-Based Decision Making with Neutrosophic Logic to Manage Uncertainty and Ambiguity [PDF]
So far, Salama has shown that the NLP system can be a rule-based system that can apply neutrosophical reasoning to model ambiguity and uncertainty in human language. Salama allows you to reason more than just right/wrong as traditional systems do, adding
A.A. Salama +3 more
doaj +1 more source

