Results 51 to 60 of about 64,931 (224)
IEEE Access, 2019 Although deep neural networks have recently led to great achievements in machine translation (MT), various challenges are still encountered during the development of Korean-Vietnamese MT systems.
Quang-Phuoc Nguyen +4 more
doaj +1 more source
Towards Effective Disambiguation for Machine Translation with Large Language Models [PDF]
arXiv, 2023 Resolving semantic ambiguity has long been recognised as a central challenge in the field of Machine Translation. Recent work on benchmarking translation performance on ambiguous sentences has exposed the limitations of conventional Neural Machine Translation (NMT) systems, which fail to handle many such cases. Large language models (LLMs) have emerged
arxiv
Journal of the Association for Information Science and Technology, EarlyView.Abstract The Latin‐American scientific community has achieved significant progress towards gender parity, with nearly equal representation of women and men scientists. Nevertheless, women continue to be underrepresented in scholarly communication. Throughout the 20th century, Latin America established its academic circuit, focusing on research topics ...
Carolina Pradier +3 more
wiley +1 more source
Sustaining the “frozen footprints” of scholarly communication through open citations
Journal of the Association for Information Science and Technology, EarlyView.Abstract This review examines the role of open citations in fostering transparency, reproducibility, and accessibility in scholarly communication. Through a critical synthesis of diverse sources—articles, proceedings, presentations, datasets, and blog posts—it explores the motivations behind citing, the evolving meanings of citations, and key ...
Zehra Taşkın
wiley +1 more source
Exploring the Emotional Functions of Co‐Speech Hand Gesture in Language and Communication
Topics in Cognitive Science, EarlyView., 2023 Abstract Research over the past four decades has built a convincing case that co‐speech hand gestures play a powerful role in human cognition . However, this recent focus on the cognitive function of gesture has, to a large extent, overlooked its emotional role—a role that was once central to research on bodily expression.
Spencer D. Kelly, Quang‐Anh Ngo Tran
wiley +1 more source
Autism Research, EarlyView.ABSTRACT The aim of this study was to investigate differences in mu‐wave modulation in individuals diagnosed with autism spectrum disorder (ASD) without intellectual disabilities compared to a group of neurotypical controls (NT). Thirty autistic individuals and 30 NT underwent an EEG recording while watching short videos depicting goal‐oriented action ...
Veronica Nisticò +17 more
wiley +1 more source
On the Proper Treatment of Dynamics in Cognitive Science
Topics in Cognitive Science, EarlyView., 2023 Abstract This essay examines the relevance of dynamical ideas for cognitive science. On its own, the mere mathematical idea of a dynamical system is too weak to serve as a scientific theory of anything, and dynamical approaches within cognitive science are too rich and varied to be subsumed under a single “dynamical hypothesis.” Instead, after first ...
Randall D. Beer
wiley +1 more source
The biomedical discourse relation bank
BMC Bioinformatics, 2011 Background Identification of discourse relations, such as causal and contrastive relations, between situations mentioned in text is an important task for biomedical text-mining.
Joshi Aravind +4 more
doaj +1 more source
Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text [PDF]
arXiv, 2021 Named entity disambiguation (NED), which involves mapping textual mentions to structured entities, is particularly challenging in the medical domain due to the presence of rare entities. Existing approaches are limited by the presence of coarse-grained structural resources in biomedical knowledge bases as well as the use of training datasets that ...
arxiv
The potential of deep learning in improving K‐12 students' writing skills: A systematic review
British Educational Research Journal, EarlyView.Abstract The purpose of this study is to examine the relationship between technology‐supported writing instruction at the K‐12 level and deep learning approaches and to understand the trends in this field. In the study, 12 articles selected from Web of Science, Scopus, ERIC and EBSCO databases were systematically analysed.
Mazhar Bal, Emre Öztürk
wiley +1 more source