A comprehensive survey on automatic knowledge graph construction
Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …
knowledge. To this end, much effort has historically been spent extracting informative fact …
Primitive representation learning for scene text recognition
R Yan, L Peng, S **ao, G Yao - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
Scene text recognition is a challenging task due to diverse variations of text instances in
natural scene images. Conventional methods based on CNN-RNN-CTC or encoder …
natural scene images. Conventional methods based on CNN-RNN-CTC or encoder …
A deep learning architecture for semantic address matching
Address matching is a crucial step in geocoding, which plays an important role in urban
planning and management. To date, the unprecedented development of location-based …
planning and management. To date, the unprecedented development of location-based …
[HTML][HTML] Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language …
Background: Stroke is a prevalent disease with a significant global impact. Effective
assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and …
assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and …
A novel emotion lexicon for chinese emotional expression analysis on weibo: using grounded theory and semi-automatic methods
As one of the most popular social media platforms in China, Weibo has aggregated huge
numbers of texts containing people's thoughts, feelings, and experiences. Analyzing …
numbers of texts containing people's thoughts, feelings, and experiences. Analyzing …
An interpretable diagnostic approach for lung cancer: Combining maximal clique and improved BERT
Z Chen, F **ao, X Wang, W Hou, R Huang… - Expert …, 2023 - Wiley Online Library
The lung cancer incidence and mortality in China have always been high. Moreover, due to
the limited level of professional technology, misdiagnosis and missed diagnosis of lung …
the limited level of professional technology, misdiagnosis and missed diagnosis of lung …
An explainable system for diagnosis and prognosis of COVID-19
J Lu, R **, E Song, M Alrashoud… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The outbreak of Coronavirus Disease-2019 (COVID-19) has posed a threat to world health.
With the increasing number of people infected, healthcare systems, especially those in …
With the increasing number of people infected, healthcare systems, especially those in …
Dependency parsing-based entity relation extraction over Chinese complex text
S Qi, L Zheng, F Shang - Transactions on Asian and Low-Resource …, 2021 - dl.acm.org
Open Relation Extraction (ORE) plays a significant role in the field of Information Extraction.
It breaks the limitation that traditional relation extraction must pre-define relational types in …
It breaks the limitation that traditional relation extraction must pre-define relational types in …
Matching-based term semantics pre-training for spoken patient query understanding
Medical Slot Filling (MSF) task aims to convert medical queries into structured information,
playing an essential role in diagnosis dialogue systems. However, the lack of sufficient term …
playing an essential role in diagnosis dialogue systems. However, the lack of sufficient term …
Tserl: Two-stage enhancement of radical and lexicon for chinese medical named entity recognition
With the large-scale growth of medical data, Chinese medical named entity recognition
(NER) has attracted extensive attention, which plays a crucial prerequisite role in extracting …
(NER) has attracted extensive attention, which plays a crucial prerequisite role in extracting …