The development of large high-quality datasets and high-performing model...
Hypothetical induction is recognized as the main reasoning type when
sci...
We propose a novel framework for few-shot learning by leveraging large-s...
Nowadays, the quality of responses generated by different modern large
l...
Probabilistic logical rule learning has shown great strength in logical ...
Logical reasoning is central to human cognition and intelligence. Past
r...
Inductive reasoning is a core component of human intelligence. In the pa...
Event argument extraction has long been studied as a sequential predicti...
Humans can classify an unseen category by reasoning on its language
expl...
Extracting informative arguments of events from news articles is a
chall...
Document-level information extraction (IE) tasks have recently begun to ...
End-to-end models in NLP rarely encode external world knowledge about le...
We revisit the classic information extraction problem of document-level
...
Few works in the literature of event extraction have gone beyond individ...
The problem of event extraction requires detecting the event trigger and...
Our goal is procedural text comprehension, namely tracking how the prope...
We study the task of generating from Wikipedia articles question-answer ...
We study automatic question generation for sentences from text passages ...