Bert prescriptions to avoid unwanted headaches: A comparison of transformer architectures for adverse drug event detection
Pretrained transformer-based models, such as BERT and its variants, have become a
common choice to obtain state-of-the-art performances in NLP tasks. In the identification of …
common choice to obtain state-of-the-art performances in NLP tasks. In the identification of …
Learning implicit and explicit multi-task interactions for information extraction
Information extraction aims at extracting entities, relations, and so on, in text to support
information retrieval systems. To extract information, researchers have considered multitask …
information retrieval systems. To extract information, researchers have considered multitask …
[PDF][PDF] Frag at the ntcir-17 mednlp-sc task
The FRAG team participated in the Social Media (SM) subtask of the NTCIR-17 MedNLP-SC
Task [13]. Our approach involved finetuning a multilingual transformer-based model on the …
Task [13]. Our approach involved finetuning a multilingual transformer-based model on the …
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection
Adverse drug events (ADEs) are an important aspect of drug safety. Various texts such as
biomedical literature, drug reviews, and user posts on social media and medical forums …
biomedical literature, drug reviews, and user posts on social media and medical forums …
[引用][C] TWEET-FD: A Dataset for Multiple Foodborne Illness Incident Detection Tasks
R Hu, D Zhang, D Tao, H Feng, E Rundensteiner - City