The significance of data excellence has long been under-emphasized in Machine Learning (ML) research. Historically, ML has focused primarily on …
Improving Neural Abstractive Summarization with Sequence-level Models
The rise of deep learning since the mid 2010s enabled researchers to train end-to-end sequence models for abstractive summarization, which …
Interpretability in Recommender Systems
As recommender systems are widely used in commercial systems, there is increasing demand to ensure that a recommendation model behaves …