We present a novel methodology aimed at optimizing the application of fr...
RNA, whose functionality is largely determined by its structure, plays a...
Humans tend to decompose a sentence into different parts like sth do
sth...
Semantic representation learning for sentences is an important and
well-...
The impressive performance of GPT-3 using natural language prompts and
i...
Few-shot language learners adapt knowledge from a pre-trained model to
r...
The performance of existing text style transfer models is severely limit...
Pre-trained language models (LMs) have been shown to memorize a substant...
Training a deep neural model for semantic segmentation requires collecti...
We propose an Auto-Parsing Network (APN) to discover and exploit the inp...
Networks found in the real-world are numerous and varied. A common type ...
The field of NLP has seen unprecedented achievements in recent years. Mo...