Cognitive flexibility in autism: Evidence from young autistic children
Autism Research, Volume 15, Issue 12, Page 2296-2309, December 2022., 2022 Abstract We examined the cognitive flexibility performance of young autistic children and a group of neurotypical peers. Thirty‐six autistic children (72–83 months) and 200 age‐matched typically‐developing children were assessed on the Children's Color Trails Test (CCTT), a semantic and a phonemic verbal fluency task.
Maria Andreou +2 more
wiley +1 more source
Improving machine translation quality with automatic named entity recognition [PDF]
, 2003 Bogdan Babych, Anthony Hartley
openalex +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
Advanced Intelligent Systems, EarlyView.AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel +7 more
wiley +1 more source
From Battery Manufacturing to Smart Grids: Towards a Metaverse for the Energy Sciences**
Batteries &Supercaps, Volume 6, Issue 1, January 2023., 2023 Metaverse for batteries: We report two collaborative and immersive educative games paving the way towards a metaverse in energy sciences: a Mixed Reality one in which players optimize an electrical grid to ensure an electric vehicle to accomplish a mission, and a Virtual Reality digital twin of a battery manufacturing pilot line in which players ...
Alejandro A. Franco +8 more
wiley +1 more source
DANSK: Domain Generalization of Danish Named Entity Recognition
Northern European Journal of Language TechnologyNamed entity recognition is an important application within Danish NLP, essential within both industry and research. However, Danish NER is inhibited by a lack coverage across domains and entity types.
Kenneth Enevoldsen +2 more
doaj +1 more source
Using N-best lists for named entity recognition from Chinese speech [PDF]
, 2004 Lu-Feng Zhai +4 more
openalex +1 more source
GACNet: Interactive Prediction of Surrounding Vehicles Behavior under High Collision Risk
Advanced Intelligent Systems, EarlyView.This study designs a dual‐stage prediction framework and introduces a conflict analysis module. This module refines the initially predicted future trajectories and performs collision detection and behavior analysis on the refined trajectories, thereby learning the true interactive behaviors of multiple agents in high‐collision‐risk scenarios.
Jingzheng Chai +3 more
wiley +1 more source
Chinese named entity recognition based on multiple features [PDF]
, 2005 Youzheng Wu, Jun Zhao, Bo Xu, Hao Yu
openalex +1 more source
"I've Heard of You!": Generate Spoken Named Entity Recognition Data for Unseen Entities [PDF]
arXivSpoken named entity recognition (NER) aims to identify named entities from speech, playing an important role in speech processing. New named entities appear every day, however, annotating their Spoken NER data is costly. In this paper, we demonstrate that existing Spoken NER systems perform poorly when dealing with previously unseen named entities.
arxiv
GENETAG: a tagged corpus for gene/protein named entity recognition [PDF]
, 2005 Lorraine Tanabe +4 more
openalex +1 more source