Warning: this paper contains content that may be offensive or upsetting. Language has the
power to reinforce stereotypes and project social biases onto others. At the core of the …

Social norms--the unspoken commonsense rules about acceptable social behavior--are
crucial in understanding the underlying causes and intents of people's actions in narratives …

Large Language Models (LLMs) are becoming increasingly integrated into our lives. Hence,
it is important to understand the biases present in their outputs in order to avoid perpetuating …

Social media are digitalizing massive amounts of users' cognitions in terms of timelines and
emotional content. Such Big Data opens unprecedented opportunities for investigating …

Abstract The Proposition Bank project takes a practical approach to semantic representation,
adding a layer of predicate-argument information, or semantic role labels, to the syntactic …

Chinese FrameNet (CFN) is a scenario commonsense knowledge base (CKB) that plays an
important role in research on Chinese language understanding. It is based on the theory of …

. Introduction... the sequence you actually hear or see is like the tip of an iceberg–a tiny
amount of matter and energy into which an enormous amount of information has been …

The arrival of the modern computer set in motion a series of lexicographers' dreams without
equal in the history of dictionary making. Achieving the wildest of those electronic‐dictionary …

Grounded Situation Recognition (GSR) aims to generate structured semantic summaries of
images for" human-like''event understanding. Specifically, GSR task not only detects the …

Pre-trained visual-language (ViL) models have demonstrated good zero-shot capability in
video understanding tasks, where they were usually adapted through fine-tuning or temporal …