To account for the distinct nature of various NLP tasks that may require different semantic features, we compare SWEM-based models with existing recurrent and convolutional networks in a pointby-point manner.
we consider 17 datasets, including three distinct NLP tasks: document classification (Yahoo news, Yelp reviews, etc.