Results 71 to 80 of about 38,226 (255)

English WordNet: A new open-source WordNet for English

open access: yesK Lexical News 28 37-44, 2020
No ...
McCrae, John P.   +2 more
openaire   +1 more source

Automated item‐level measures of verbal fluency in semantic and logopenic primary progressive aphasia

open access: yesAlzheimer's &Dementia, Volume 22, Issue 1, January 2026.
Abstract INTRODUCTION Verbal fluency tasks are widely used in primary progressive aphasia (PPA), but most studies rely only on total correct responses, overlooking qualitative features of the words produced. We applied a scalable computational framework to extract item‐level features from fluency responses in semantic variant (svPPA) and logopenic ...
Jet M. J. Vonk   +12 more
wiley   +1 more source

Are We Talking about the Same Thing? Modeling Semantic Similarity between Common and Specialized Lexica in WordNet

open access: yesLanguages
Specialized languages can activate different sets of semantic features when compared to general language or express concepts through different words according to the domain.
Chiara Barbero, Raquel Amaro
doaj   +1 more source

Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

open access: yesJournal of King Saud University: Computer and Information Sciences, 2014
Sentiment analysis is the process of determining a predefined sentiment from text written in a natural language with respect to the entity to which it is referring. A number of lexical resources are available to facilitate this task in English.
Fawaz H.H. Mahyoub   +2 more
doaj   +1 more source

Word Sense Disambiguation using Aggregated Similarity based on WordNet Graph Representation [PDF]

open access: yesInformatică economică, 2013
The term of word sense disambiguation, WSD, is introduced in the context of text document processing. A knowledge based approach is conducted using WordNet lexical ontology, describing its structure and components used for the process of identification ...
Mădălina ZURINI
doaj   +1 more source

Semantic primitives and compositionality: An Annual Review of Information Science and Technology (ARIST) paper

open access: yesJournal of the Association for Information Science and Technology, Volume 77, Issue 1, Page 198-223, January 2026.
Abstract The term semantic primitives refers to a set of basic, atomic concepts from which all other (compound) concepts are constructed. It presupposes the principle of compositionality—the idea that complex items or expressions can be formed by combining simpler constituents.
Birger Hjørland
wiley   +1 more source

APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS

open access: yesДоклады Белорусского государственного университета информатики и радиоэлектроники, 2020
This paper suggests an approach to the semantic image analysis for application in computer vision systems. The aim of the work is to develop a method for automatically construction of a semantic model, that formalizes the spatial relationships between ...
N. A. Iskra
doaj   +1 more source

Attention‐Based Fusion of Pretrained MaskPoint and Point‐MAE Representations for Enhanced Point Cloud Classification

open access: yesIET Image Processing, Volume 20, Issue 1, January/December 2026.
This paper presents an attention‐based fusion framework that combines complementary self‐supervised representations learned by Point‐MAE and MaskPoint for 3D point cloud classification. Features from the pretrained encoders are fused using multi‐layer attention and cross‐attention mechanisms, with cross‐attention achieving the highest classification ...
Rita Younes   +4 more
wiley   +1 more source

Enrichment of OntoSenseNet: Adding a Sense-annotated Telugu lexicon

open access: yes, 2018
The paper describes the enrichment of OntoSenseNet - a verb-centric lexical resource for Indian Languages. This resource contains a newly developed Telugu-Telugu dictionary. It is important because native speakers can better annotate the senses when both
Parupalli, Sreekavitha, Singh, Navjyoti
core   +1 more source

Detecting Phishing Emails Using GloVe Word Embeddings and Ensemble Machine Learning Model

open access: yesIET Information Security, Volume 2026, Issue 1, 2026.
Phishing emails represent a critical cybersecurity challenge, exploiting human vulnerability to illicitly obtain sensitive personal and financial data. This study proposes a novel content‐based filtering framework for phishing email detection, employing Global Vectors for Word Representation (GloVe) embeddings for semantic feature extraction and a ...
Sulaiman A. Maeli   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy