Cross-modal memory networks for radiology report generation
Medical imaging plays a significant role in clinical practice of medical diagnosis, where the
text reports of the images are essential in understanding them and facilitating later …
text reports of the images are essential in understanding them and facilitating later …
[HTML][HTML] GECRAN: Graph embedding based convolutional recurrent attention network for traffic flow prediction
JQ Yan, L Zhang, Y Gao, BT Qu - Expert Systems with Applications, 2024 - Elsevier
Traffic flow prediction has become increasingly important with the rapid development of
Intelligent Transportation Systems (ITS) in recent years. Due to the accurate representation …
Intelligent Transportation Systems (ITS) in recent years. Due to the accurate representation …
Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer)
We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
Lexicon enhanced Chinese sequence labeling using BERT adapter
Lexicon information and pre-trained models, such as BERT, have been combined to explore
Chinese sequence labelling tasks due to their respective strengths. However, existing …
Chinese sequence labelling tasks due to their respective strengths. However, existing …
Wukong: A 100 million large-scale chinese cross-modal pre-training benchmark
Abstract Vision-Language Pre-training (VLP) models have shown remarkable performance
on various downstream tasks. Their success heavily relies on the scale of pre-trained cross …
on various downstream tasks. Their success heavily relies on the scale of pre-trained cross …
Weak supervision for fake news detection via reinforcement learning
Today social media has become the primary source for news. Via social media platforms,
fake news travel at unprecedented speeds, reach global audiences and put users and …
fake news travel at unprecedented speeds, reach global audiences and put users and …
Graph-based text representation and matching: A review of the state of the art and future challenges
AH Osman, OM Barukub - IEEE Access, 2020 - ieeexplore.ieee.org
Graph-based text representation is one of the important preprocessing steps in data and text
mining, Natural Language Processing (NLP), and information retrieval approaches. The …
mining, Natural Language Processing (NLP), and information retrieval approaches. The …
Is college education less necessary with AI? Evidence from firm-level labor structure changes
As a general-purpose technology, artificial intelligence (AI) is expected to transform almost
all industries and aspects of our society. Thus, it is important to understand the potential …
all industries and aspects of our society. Thus, it is important to understand the potential …
Leveraging distribution alignment via stein path for cross-domain cold-start recommendation
Abstract Cross-Domain Recommendation (CDR) has been popularly studied to utilize
different domain knowledge to solve the cold-start problem in recommender systems. In this …
different domain knowledge to solve the cold-start problem in recommender systems. In this …
ZEN: Pre-training Chinese text encoder enhanced by n-gram representations
The pre-training of text encoders normally processes text as a sequence of tokens
corresponding to small text units, such as word pieces in English and characters in Chinese …
corresponding to small text units, such as word pieces in English and characters in Chinese …