We propose MemoChat, a pipeline for refining instructions that enables l...
We propose a simple yet effective strategy to incorporate event knowledg...
Accessing medical literature is difficult for laypeople as the content i...
Existing models to extract temporal relations between events lack a
prin...
Human reading comprehension often requires reasoning of event semantic
r...
The primary goal of drug safety researchers and regulators is to promptl...
Building models to detect vaccine attitudes on social media is challengi...
Detecting events and their evolution through time is a crucial task in
n...
The Emotion Cause Extraction (ECE) task aims to identify clauses which
c...
Emotion detection in dialogues is challenging as it often requires the
i...
Biomedical question-answering (QA) has gained increased attention for it...
In this paper, we propose the Brand-Topic Model (BTM) which aims to dete...
We introduce CHIME, a cross-passage hierarchical memory network for ques...
The flexibility of the inference process in Variational Autoencoders (VA...
Making sense of words often requires to simultaneously examine the
surro...
We propose a topic-dependent attention model for sentiment classificatio...