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Sophie Wu

4 accepted papers

2025

BRIGHTER: BRIdging the Gap in Human-Annotated Textual Emotion Recognition Datasets for 28 Languages

ACL 2025long

People worldwide use language in subtle and complex ways to express emotions. Although emotion recognition–an umbrella term for several NLP tasks–impacts various applications within NLP and beyond, most work in this area has focused on high-resource languages. This has led to significant disparities…

2025

Probing Narrative Morals: A New Character-Focused MFT Framework for Use with Large Language Models

EMNLP 2025

Moral Foundations Theory (MFT) provides a framework for categorizing different forms of moral reasoning, but its application to computational narrative analysis remains limited. We propose a novel character-centric method to quantify moral foundations in storytelling, using large language models (LL

Cited by 0SourcePDFScholar
2025

The Language of Interoception: Examining Embodiment and Emotion Through a Corpus of Body Part Mentions

EMNLP 2025

This paper is the first investigation of the connection between emotion, embodiment, and everyday language in a large sample of natural language data. We created corpora of body part mentions (BPMs) in online English text (blog posts and tweets). This includes a subset featuring human annotations fo

2024

Confabulation: The Surprising Value of Large Language Model Hallucinations

ACL 2024long

This paper presents a systematic defense of large language model (LLM) hallucinations or ‘confabulations’ as a potential resource instead of a categorically negative pitfall. The standard view is that confabulations are inherently problematic and AI research should eliminate this flaw. In this paper…

Cited by 22SourcePDFScholar