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pro vyhledávání: '"Siu Cheung So"'
Biomedical Event Extraction (BEE) is a challenging task that involves modeling complex relationships between fine-grained entities in biomedical text. BEE has traditionally been formulated as a classification problem. With the recent technological ad
Externí odkaz:
http://arxiv.org/abs/2408.06583
Early screening for anxiety and appropriate interventions are essential to reduce the incidence of self-harm and suicide in patients. Due to limited medical resources, traditional methods that overly rely on physician expertise and specialized equipm
Externí odkaz:
http://arxiv.org/abs/2303.09041
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-22 (2024)
Abstract Background Detecting event triggers in biomedical texts, which contain domain knowledge and context-dependent terms, is more challenging than in general-domain texts. Most state-of-the-art models rely mainly on external resources such as lin
Externí odkaz:
https://doaj.org/article/298091ab97604c1d897bd79aeee627ce
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
Autor:
Xu, Jing, Song, Dandan, Liu, Chong, Hui, Siu Cheung, Li, Fei, Ju, Qiang, He, Xiaonan, Xie, Jian
In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to extract users' intentions from the dialogue history. Currently, most existing approaches suffer from error propagation and are unable to dynamically select relevant information
Externí odkaz:
http://arxiv.org/abs/2302.08220
Event Detection, which aims to identify and classify mentions of event instances from unstructured articles, is an important task in Natural Language Processing (NLP). Existing techniques for event detection only use homogeneous one-hot vectors to re
Externí odkaz:
http://arxiv.org/abs/2211.00709
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 6, Iss , Pp 100214- (2024)
The advent of artificial intelligence (AI) in the workplace is pressuring employees to learn how to harness this technology. The goal of promoting AI literacy is to equip educated citizens with the readiness to apply AI. The aim of this study is to p
Externí odkaz:
https://doaj.org/article/4d29cba63dcc4c91b052c54ba19d3bb9
Autor:
Satu-Maarit Korte, William Man-Yin Cheung, Mari Maasilta, Siu-Cheung Kong, Pigga Keskitalo, Lixun Wang, Chaak Ming Lau, John Chi Kin Lee, Michelle Mingyue Gu
Publikováno v:
Computers and Education Open, Vol 6, Iss , Pp 100164- (2024)
This article presents the results of a study conducted in collaboration with two universities – one in Lapland (Finland) and the other in Hong Kong (China) – during the development of an international university course on global media education.
Externí odkaz:
https://doaj.org/article/e207fa24b07545ef9d0a47b41687b2ec
Autor:
Chen, Zhendong, Hui, Siu Cheung, Zhuang, Fuzhen, Liao, Lejian, Jia, Meihuizi, Li, Jiaqi, Huang, Heyan
Publikováno v:
In Neural Networks October 2024 178
Autor:
Le, Tan Khang, Hui, Siu Cheung
Food reviews and recommendations have always been important for online food service websites. However, reviewing and recommending food is not simple as it is likely to be overwhelmed by disparate contexts and meanings. In this paper, we use different
Externí odkaz:
http://arxiv.org/abs/2201.10978