Static Models

For domain-specific NLP tasks, applying word embeddings trained on general cor- pora is not optimal. Meanwhile, training domain-specific word representations poses challenges to dataset construction and embed- ding evaluation. In …...

AbstractTransformer-based models are now predominant in NLP.They outperform approaches based on static models in many respects. This success has in turn prompted research that reveals a number of biases in …...