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Inside Baseball: Coverage, quality, and culture in the Global WordNet

Cognitive Studies | Études cognitives, 2018
Inside Baseball: Coverage, quality, and culture in the Global WordNet The Global WordNet is succeeding in producing relatively open linguistic data that is coordinated to a degree among numerous languages.
Martin Benjamin
doaj   +1 more source

WordNet::Similarity [PDF]

Demonstration Papers at HLT-NAACL 2004 on XX - HLT-NAACL '04, 2004
WordNet::Similarity is a freely available software package that makes it possible to measure the semantic similarity and relatedness between a pair of concepts (or synsets). It provides six measures of similarity, and three measures of relatedness, all of which are based on the lexical database WordNet.
Ted Pedersen, Siddharth Patwardhan, Jason Michelizzi   +2 more
openaire   +1 more source

Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language [PDF]

Journal of Artificial Intelligence and Data Mining
In the era of pervasive internet use and the dominance of social networks, researchers face significant challenges in Persian text mining, including the scarcity of adequate datasets in Persian and the inefficiency of existing language models. This paper
Farid Ariai, Maryam Tayefeh Mahmoudi, Ali Moeini   +2 more
doaj   +1 more source

GENERATING A MALAY SENTIMENT LEXICON BASED ON WORDNET

Asia-Pacific Journal of Information Technology and Multimedia, 2017
Sentiment lexicon is a list of vocabularies that consists of positive and negative words. In opinion mining, sentiment lexicon is one of the important source in text polarity classification task in sentiment analysis model.
Nur Sharmini Alexander, Nazlia Omar
doaj   +1 more source

Explanation strategies in humans versus current explainable artificial intelligence: Insights from image classification

British Journal of Psychology, EarlyView.
Abstract Explainable AI (XAI) methods provide explanations of AI models, but our understanding of how they compare with human explanations remains limited. Here, we examined human participants' attention strategies when classifying images and when explaining how they classified the images through eye‐tracking and compared their attention strategies ...
Ruoxi Qi, Yueyuan Zheng, Yi Yang, Caleb Chen Cao, Janet H. Hsiao   +4 more
wiley   +1 more source

Human tests for machine models: What lies “Beyond the Imitation Game”?

Journal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract Benchmarking large language models (LLMs) is a key practice for evaluating their capabilities and risks. This paper considers the development of “BIG Bench,” a crowdsourced benchmark designed to test LLMs “Beyond the Imitation Game.” Drawing on linguistic anthropological and ethnographic analysis of the project's GitHub repository, we examine ...
Noya Kohavi, Anna Weichselbraun
wiley   +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

Utemeljevanje sloWNeta na korpusnih podatkih

Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2013
Wordnet lahko izdelamo na podlagi že obstoječega tujejezičnega wordneta ali pa kot osnovo za gradnjo vzamemo korpusne podatke. Prvi pristop je preprostejši in enostavnejši, zaradi česar ga razvijalci tudi najpogosteje uporabljajo.
Darja Fišer, Maciej Piasecki, Bartosz Broda   +2 more
doaj   +1 more source

APPROACH TO IMAGE ANALYSIS FOR COMPUTER VISION SYSTEMS

Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, 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

Multi-Class Document Classification Using Lexical Ontology-Based Deep Learning

Applied Sciences, 2023
With the recent growth of the Internet, the volume of data has also increased. In particular, the increase in the amount of unstructured data makes it difficult to manage data. Classification is also needed in order to be able to use the data for various
Ilkay Yelmen, Ali Gunes, Metin Zontul
doaj   +1 more source