Results 51 to 60 of about 349 (155)
From Speech Semantics to Brain Activity—Timescales Are Key in Their Information Transfer
Human Brain Mapping, Volume 46, Issue 16, November 2025.We analyzed sentence similarity (SBERT) and word depth (WordNet) from the HCP 7 T MOVIE2_HO1.mp4 using dynamic ACW analysis. Brain activity in A1, TA2, and PSL regions was similarly analyzed. Transfer Entropy measured the information flow between semantic and brain timescales.
Saket Kumar +5 more
wiley +1 more source
Looking at the Multiple Meanings of Numeracy, Quantitative Literacy, and Quantitative Reasoning
Numeracy, 2014 The subject of this journal goes by a variety of names: numeracy, quantitative literacy, and quantitative reasoning. Some authors use the terms interchangeably. Others see distinctions between them. Study of psycholinguistic and ontological concepts laid
H.L. Vacher
doaj +1 more source
Probabilistic SynSet Based Concept Location.
, 2012 Concept location is a common task in program comprehension techniques, essential in many approaches used for software care and software evolution. An important goal of this process is to discover a mapping between source code and human oriented concepts. Although programs are written in a strict and formal language, natural language terms and sentences
Nuno Ramos Carvalho +3 more
openaire +5 more sources
Expert Systems, Volume 42, Issue 10, October 2025.ABSTRACT Sentiment analysis, crucial for discerning emotional tones in text, relies on manual annotation to train machine learning models and is considered the gold standard for creating annotated corpora. However, this process is time‐consuming, labour‐intensive, and prone to biases. This paper proposes an automatic annotation approach for the Twitter‐
Arwa Diwali +6 more
wiley +1 more source
Lexical platform – the first step towards user-centred integration of lexical resources
Cognitive Studies | Études cognitives, 2018 Lexical platform – the first step towards user-centred integration of lexical resources Lexical platform – the first step towards user-centred integration of lexical resources The paper describes the Lexical Platform - a means for lightweight ...
Maciej Piasecki +3 more
doaj +1 more source
Advanced Engineering Materials, Volume 27, Issue 8, April 2025.This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi +3 more
wiley +1 more source
Automatic Assignment of Wikipedia Encyclopedic Entries to WordNet Synsets [PDF]
, 2005 The final publication is available at Springer via http://dx.doi.org/10.1007/11495772_59 Proceedings of Third International Atlantic Web Intelligence Conference, AWIC 2005, Lodz, Poland, June 6-9, 2005. We describe an approach taken for automatically associating entries from an on-line encyclopedia with concepts in an ontology or a lexical semantic ...
Maria Ruiz-Casado +2 more
openaire +2 more sources
The price impact of tweets: A high‐frequency study
Financial Review, Volume 60, Issue 1, Page 147-171, February 2025.Abstract We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact.
Ni Yang +2 more
wiley +1 more source
Fast intensive crowd counting model of Internet of Things based on multi‐scale attention mechanism
IET Image Processing, Volume 19, Issue 1, January/December 2025.Abstract Object detection based on deep learning plays an important role in the application of the Internet of Things (IoT). Traditional methods consume a lot of computing resources and cannot be well deployed in the IoT environment. A lightweight object detection method based on attention mechanism is proposed and applied to crowd counting. In view of
Dong Liu, Zhiyong Wang, Xiangjia Meng
wiley +1 more source
UESTS: An Unsupervised Ensemble Semantic Textual Similarity Method
IEEE Access, 2019 Semantic textual similarity (STS) is the task of assessing the degree of similarity between two texts in terms of meaning. Several approaches have been proposed in the literature to determine the semantic similarity between texts. The most promising work
Basma Hassan +3 more
doaj +1 more source