Pretrained contextualized representations offer great success for many
d...
Online harassment in the form of hate speech has been on the rise in rec...
Automated event extraction in social science applications often requires...
We propose a novel interpretable framework for cross-lingual content
fla...
Abusive language on online platforms is a major societal problem, often
...
A common approach for knowledge-base entity search is to consider an ent...
We describe a multi-task learning approach to train a Neural Machine
Tra...
Traditional information retrieval treats named entity recognition as a
p...
We address the role of a user in Contextual Named Entity Retrieval (CNER...