The standard approach for neural topic modeling uses a variational
autoe...
Recent neural supervised topic segmentation models achieve distinguished...
RST-style discourse parsing plays a vital role in many NLP tasks, reveal...
Dialogue topic segmentation is critical in several dialogue modeling
pro...
In news articles the lead bias is a common phenomenon that usually domin...
Topic segmentation is critical in key NLP tasks and recent works favor h...
Existing research on fairness evaluation of document classification mode...
Probabilistic topic models such as latent Dirichlet allocation (LDA) are...