Recent progress in large language models has enabled the deployment of m...
We propose a novel system to help fact-checkers formulate search queries...
An important challenge for news fact-checking is the effective dissemina...
A growing number of people engage in online health forums, making it
imp...
In this paper, we explore the construction of natural language explanati...
In this paper, we introduce personalized word embeddings, and examine th...
We introduce Biased TextRank, a graph-based content extraction method
in...
Word embeddings are usually derived from corpora containing text from ma...
The ongoing COVID-19 pandemic has raised concerns for many regarding per...
Recent years have witnessed a significant increase in the online sharing...
Sarcasm is often expressed through several verbal and non-verbal cues, e...
We examine a large dialog corpus obtained from the conversation history ...
The proliferation of misleading information in everyday access media out...