Large language models have improved zero-shot text classification by all...
This work aims to employ natural language generation (NLG) to rapidly
ge...
We describe the AGReE system, which takes user-submitted passages as inp...
In spite of the prevalence of figurative language, transformer-based mod...
We propose a type-controlled framework for inquisitive question generati...
We introduce a collection of recognizing textual entailment (RTE) datase...
Argument mining is often addressed by a pipeline method where segmentati...
Detecting arguments in online interactions is useful to understand how
c...
We present a computational exploration of argument critique writing by y...
An important step towards enabling English language learners to improve ...
Figurative language analysis, such as sarcasm and irony detection has
es...
We propose an unsupervised approach for sarcasm generation based on a
no...
Human communication often involves the use of verbal irony or sarcasm, w...
Human communication often involves the use of verbal irony or sarcasm, w...
Computational models for sarcasm detection have often relied on the cont...
In discourse studies concessions are considered among those argumentativ...
Conversations in social media often contain the use of irony or sarcasm,...
Computational models for sarcasm detection have often relied on the cont...