Results 71 to 80 of about 35,804 (208)

Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

Journal 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, Muazzam A. Siddiqui, Mohamed Y. Dahab   +2 more
doaj   +1 more source

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

Informatică 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

A Generative Model of Words and Relationships from Multiple Sources

, 2015
Neural language models are a powerful tool to embed words into semantic vector spaces. However, learning such models generally relies on the availability of abundant and diverse training examples. In highly specialised domains this requirement may not be
Hyland, Stephanie L., Karaletsos, Theofanis, Rätsch, Gunnar   +2 more
core   +1 more source

Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution

Transactions in GIS, Volume 30, Issue 1, February 2026.
ABSTRACT The development, integration, and maintenance of geospatial databases rely heavily on efficient and accurate matching procedures of Geospatial Entity Resolution (ER). While resolution of points‐of‐interest (POIs) has been widely addressed, resolution of entities with diverse geometries has been largely overlooked.
Kalana Wijegunarathna, Kristin Stock, Christopher B. Jones   +2 more
wiley   +1 more source

APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS

Доклады 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

BiT‐HyMLPKANClassifier: A Hybrid Deep Learning Framework for Human Peripheral Blood Cell Classification Using Big Transfer Models and Kolmogorov–Arnold Networks

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley   +1 more source

Thai WordNet construction [PDF]

Proceedings of the 7th Workshop on Asian Language Resources - ALR7, 2009
This paper describes semi-automatic construction of Thai WordNet and the applied method for Asian wordNet. Based on the Princeton WordNet, we develop a method in generating a WordNet by using an existing bi-lingual dictionary. We align the PWN synset to a bilingual dictionary through the English equivalent and its part-of-speech (POS), automatically ...
Sareewan Thoongsup, Thatsanee Charoenporn, Kergrit Robkop, Tan Sinthurahat, Chumpol Mokarat, Virach Sornlertlamvanich, Hitoshi Isahara   +6 more
openaire   +2 more sources

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

Alzheimer'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, Franco J. Ferrante, Brittany T. Morin, Diana Alejandra Rodriguez, Mia Lin, Rian Bogley, Jessica de Leon, Boon Lead Tee, Miguel Ángel Santos‐Santos, Zachary A. Miller, Maria Luisa Mandelli, Maria Luisa Gorno‐Tempini, Adolfo M. García   +12 more
wiley   +1 more source

Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles

Cybernetics and Information Technologies, 2020
This paper reports on the first steps in the creation of linked data through the mapping between the synsets of BTB-WordNet and the articles in Bulgarian Wikipedia. The task of expanding the BTB-WordNet with encyclopaedic knowledge is done by mapping its
Kancheva Z., Radev I.
doaj   +1 more source

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

Journal 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