Existing dialogue models may encounter scenarios which are not
well-repr...
To develop computational agents that better communicate using their own
...
We introduce the task of implicit offensive text detection in dialogues,...
In multi-agent learning, agents must coordinate with each other in order...
Adapting machine translation systems in the real world is a difficult
pr...
We introduce Language World Models, a class of language-conditional
gene...
We propose a hierarchical meta-learning-inspired model for music source
...
Statistical morphological inflectors are typically trained on fully
supe...
We propose a hypothesis only baseline for diagnosing Natural Language
In...
We present an empirical study of gender bias in coreference resolution
s...
Comprehending lyrics, as found in songs and poems, can pose a challenge ...
In order to extract event information from text, a machine reading model...
Given that in practice training data is scarce for all but a small set o...