Results 41 to 50 of about 35,804 (208)
Enhancing Aspect-based Sentiment Analysis with ParsBERT in Persian Language [PDF]
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 +2 more
doaj +1 more source
An overview of Portuguese WordNets
Semantic relations between words are key to building systems that aim to understand and manipulate language. For En- glish, the “de facto” standard for representing this kind of knowledge is Princeton’s WordNet. Here, we describe the wordnet-like resources currently available for Portuguese: their origins, methods of creation, sizes, and usage ...
Paiva, Valeria de +5 more
openaire +3 more sources
Tracking Climate and Environmental Attention: A News‐Based Composite Index
ABSTRACT This study introduces the Climate and Environmental Attention Index, a composite indicator that tracks media attention to climate and environmental issues. Based on the Semantic Brand Score, the proposed index extracts significant signals from unstructured text, going beyond traditional measures of word frequency and sentiment.
Gianna Figà‐Talamanca +3 more
wiley +1 more source
GENERATING A MALAY SENTIMENT LEXICON BASED ON WORDNET
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
NASARI: a novel approach to a Semantically-Aware Representation of items [PDF]
The semantic representation of individual word senses and concepts is of fundamental importance to several applications in Natural Language Processing.
CAMACHO COLLADOS, Jose' +2 more
core +2 more sources
The Colloquial WordNet: Extending Princeton WordNet with Neologisms
Princeton WordNet is one of the most important resources for natural language processing, but has not been updated for over ten years and is not suitable for analyzing the fast moving language as used on social media. We propose an extension to WordNet, with new terms that have been found from Twitter and Reddit, and cover language usage that is ...
John P. McCrae +2 more
openaire +2 more sources
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 +4 more
wiley +1 more source
Human tests for machine models: What lies “Beyond the Imitation Game”?
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
An information retrieval approach to ontology mapping [PDF]
In this paper, we present a heuristic mapping method and a prototype mapping system that support the process of semi-automatic ontology mapping for the purpose of improving semantic interoperability in heterogeneous systems.
Gulla, J.A., Su, X.
core +3 more sources
Benchmarking speech biomarkers of Alzheimer's against cognitive and neural measures
Abstract INTRODUCTION Digital speech biomarkers (DSBs) support the detection and monitoring of Alzheimer's disease (AD) in Latinos. However, they have not been benchmarked against standard cognitive and neuroimaging measures, missing a critical validation milestone. METHODS Thirty‐three AD patients and 33 healthy controls completed verbal fluency tasks,
Ivan Caro +15 more
wiley +1 more source

