Results 71 to 80 of about 7,796 (230)
APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS
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
Word Sense Disambiguation using Aggregated Similarity based on WordNet Graph Representation [PDF]
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
Abstract Thick terms like “courageous,” “smart,” and “tasty” combine description and evaluation, contrasting with purely evaluative terms like “good” and “bad,” and descriptive terms like “Italian” and “green.” Thick terms intuitively constitute a special class of evaluative language; but we currently do not know whether the psycholinguistic effects of
Giovanni Cassani, Matteo Colombo
wiley +1 more source
Omni Geometry Representation Learning Versus Large Language Models for Geospatial Entity Resolution
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 +2 more
wiley +1 more source
Encoding Commonsense Lexical Knowledge into WordNet [PDF]
In this paper, we propose an extension of the WordNet conceptual model, with the final purpose of encoding the common sense lexical knowledge associated to words used in everyday life.
Pianta Emanuele +3 more
core
Toward the creation of WordNets for ancient IE languages
This paper presents the work in progress toward the creation of a family of WordNets for Sanskrit, Ancient Greek, and Latin. Building on previous attempts in the field, we elaborate these efforts bridging together WordNet relational semantics with ...
Biagetti, Erica +2 more
core
WordNet-based Data Augmentation for Hybrid WSD Models [PDF]
Recent advances in Word Sense Disambiguation suggest neural language models can be successfully improved by incorporating knowledge base structure. Such class of models are called hybrid solutions.
Janz, Arkadiusz, Maziarz, Marek
core
Linguistic vs Encyclopaedic Knowledge. Classification of MWEs from Wikipedia Articles
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
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
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

