Results 71 to 80 of about 1,490 (299)

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

open access: yesNew Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Recognizing Textual Inference in Mongolian Bar Exam Questions

open access: yesApplied Sciences
This paper examines how to apply deep learning techniques to Mongolian bar exam questions. Several approaches that utilize eight different fine-tuned transformer models were demonstrated for recognizing textual inference in Mongolian bar exam questions ...
Garmaabazar Khaltarkhuu   +2 more
doaj   +1 more source

Semantic Methods for Textual Entailment

open access: yes, 2011
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and lexical models with some success. Here, a new approach is taken to apply world knowledge in much the same way as humans, but captured in large semantic ...
Max H. Garzon   +3 more
core   +1 more source

Five‐Year Disease Progression in Synuclein Seeding Positive Sporadic Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To provide a comprehensive description of disease progression in synuclein seeding assay (SAA) positive sporadic Parkinson Disease participants, using Neuronal Synuclein Disease integrated biological and functional impairment staging framework.
Paulina Gonzalez‐Latapi   +19 more
wiley   +1 more source

Quantifying Privacy Risk of Mobile Apps as Textual Entailment Using Language Models

open access: yesJournal of Cybersecurity and Privacy
Smart phones have become an integral part of our lives in modern society, as we carry and use them throughout a day. However, this “body part” may maliciously collect and leak our personal information without our knowledge.
Chris Y. T. Ma
doaj   +1 more source

Textual Presupposition: An Intertextual Account

open access: yesمجلة جامعة كويه للعلوم الانسانية والاجتماعية, 2020
Whereas there has been ample research on presupposition, and different taxonomies have been put forward on the various types of presupposition, presupposition triggers, on the difference between entailment and presupposition, and on the dichotomy ...
Salah M. Salih
doaj   +1 more source

The third PASCAL Recognising Textual Entailment Challenge

open access: yes, 2006
This paper presents the Third PASCAL Recognising Textual Entailment Challenge (RTE-3), providing an overview of the dataset creating methodology and the submitted systems.
B. Dolan   +3 more
core  

Air Pollution and the Risk and Progression of Multiple Sclerosis: A Systematic Review and Meta‐Analysis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Purpose Air pollution has been linked to several neurological conditions, including stroke and neurodegenerative diseases. Evidence regarding its association with multiple sclerosis (MS) remains conflicting, limited by small sample sizes. Methods PubMed, Embase, Scopus, and Cochrane controlled register of trials (CENTRAL) were searched on ...
Ahmad A. Toubasi, Thuraya N. Al‐Sayegh
wiley   +1 more source

Improving Sentence Representations via Component Focusing

open access: yesApplied Sciences, 2020
The efficiency of natural language processing (NLP) tasks, such as text classification and information retrieval, can be significantly improved with proper sentence representations. Neural networks such as convolutional neural network (CNN) and recurrent
Xiaoya Yin   +4 more
doaj   +1 more source

Recognising Textual Entailment Focusing on Non-Entailing Text and Hypothesis

open access: yes, 2008
This paper describes a predominantly shallow ap-proach to the rte-4 Challenge. We focus our at-tention on the non-entailing Text and Hypothesis pairs in the dataset. The system uses a Maximum Entropy framework to classify each pair of Text and Hypothesis
Nahnsen, Thade   +3 more
core  

Home - About - Disclaimer - Privacy