This paper surveys the current state of the art in Natural Language Generation (NLG),
defined as the task of generating text or speech from non-linguistic input. A survey of NLG is …

Recently, there has been an increased interest in demographically grounded bias in natural
language processing (NLP) applications. Much of the recent work has focused on describing …

Abstract Machine translation (MT) technology has facilitated our daily tasks by providing
accessible shortcuts for gathering, processing, and communicating information. However, it …

Design biases in NLP systems, such as performance differences for different populations,
often stem from their creator's positionality, ie, views and lived experiences shaped by …

Medical sciences have long since established an ethics code for experiments, to minimize
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …

Although there is an unprecedented effort to provide adequate responses in terms of laws
and policies to hate content on social media platforms, dealing with hatred online is still a …

Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …

Abstract Language is a social phenomenon and variation is inherent to its social nature.
Recently, there has been a surge of interest within the computational linguistics (CL) …

Psychology research suggests that certain personality traits correlate with linguistic
behavior. This correlation can be effectively modeled with statistical natural language …

Existing research on fairness evaluation of document classification models mainly uses
synthetic monolingual data without ground truth for author demographic attributes. In this …