tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection

Semantic similarity detection is a fundamental task in natural language understanding. Adding topic information has been useful for previous feature-engineered semantic similarity models as well as neural models for other tasks. There is currently no standard way of combining topics with pretrained ... View More