Results 11 to 20 of about 7,760 (144)
A framework for semantics-based situational awareness during mobile robot deployments [PDF]
Deployment of robots into hazardous environments typically involves a “human–robot teaming” (HRT) paradigm, in which a human supervisor interacts with a remotely operating robot inside the hazardous zone.
Tianshu Ruan +8 more
doaj +2 more sources
Semantic Richness Effects in Spoken Word Recognition: A Lexical Decision and Semantic Categorization Megastudy [PDF]
Winston Goh, Melvin Ng, Melvin Yap
exaly +2 more sources
The Role of Humour in Teaching for ESP Students [PDF]
In the course of history, humour has been more explored in literature, but little emphasis has been laid on it in teaching for higher education students.
Laura IONICĂ
doaj +1 more source
Introduction to the Research Topic Meaning in mind: Semantic richness effects in language processing [PDF]
Penny M Pexman +2 more
doaj +2 more sources
Rich Semantics Improve Few-Shot Learning [PDF]
Human learning benefits from multi-modal inputs that often appear as rich semantics (e.g., description of an object's attributes while learning about it). This enables us to learn generalizable concepts from very limited visual examples. However, current few-shot learning (FSL) methods use numerical class labels to denote object classes which do not ...
Mohamed Afham +4 more
openaire +2 more sources
In a metaphor, such as language is a bridge, two distinct concepts known as the topic (i.e., language) and vehicle (i.e., bridge) are juxtaposed to produce figurative meaning.
Hamad Al-Azary +2 more
doaj +1 more source
GreatSplicing: A Semantically Rich Splicing Dataset
This version updates the author list and author order, and incorporates changes to the ...
Liang, Jiaming +11 more
openaire +2 more sources
Teacher education enables students to grow from ‘novice’ into ‘starting expert’ teachers. In this study, students’ textual peer feedback on video recordings of their teaching practice was analysed to determine the growth of their expertise in relation to
Marije Bent +2 more
doaj +1 more source
Thangka Image Captioning Based on Semantic Concept Prompt and Multimodal Feature Optimization
Thangka images exhibit a high level of diversity and richness, and the existing deep learning-based image captioning methods generate poor accuracy and richness of Chinese captions for Thangka images. To address this issue, this paper proposes a Semantic
Wenjin Hu +3 more
doaj +1 more source
Towards semantic-rich word embeddings [PDF]
In recent years, word embeddings have been shown to improve the performance in NLP tasks such as syntactic parsing or sentiment analysis. While useful, they are problematic in representing ambiguous words with multiple meanings, since they keep a single representation for each word in the vocabulary.
Grzegorz Beringer +4 more
openaire +2 more sources

