Research on neural networks has largely focused on understanding a singl...
Attribute-controlled text rewriting, also known as text style-transfer, ...
Pretraining has been shown to scale well with compute, data size and dat...
Previous studies observed that finetuned models may be better base model...
Text classification can be useful in many real-world scenarios, saving a...
Public trust in medical information is crucial for successful applicatio...
The COVID-19 pandemic has made a huge global impact and cost millions of...
Targeted Sentiment Analysis (TSA) is a central task for generating insig...
Pretrained models are the standard starting point for training. This app...
We describe the 2021 Key Point Analysis (KPA-2021) shared task on key po...
Project Debater was revealed in 2019 as the first AI system that can deb...
Sentiment analysis research has shifted over the years from the analysis...
Wikification of large corpora is beneficial for various NLP applications...
The field of Grammatical Error Correction (GEC) has produced various sys...