Existing dialogue models may encounter scenarios which are not
well-repr...
A unique feature of Recurrent Neural Networks (RNNs) is that it incremen...
Existing automatic story evaluation methods place a premium on story lex...
This paper explores the task of Temporal Video Grounding (TVG) where, gi...
We introduce the task of implicit offensive text detection in dialogues,...
Incorporating stronger syntactic biases into neural language models (LMs...
Open-domain code generation is a challenging problem because the set of
...
Extracting event time from news articles is a challenging but attractive...
The global pandemic of COVID-19 has made the public pay close attention ...
We propose a data-to-text generation model with two modules, one for tra...
Peer review is a core element of the scientific process, particularly in...
Captioning models are typically trained using the cross-entropy loss.
Ho...