[Lions: 1] and [Tigers: 2] and [Bears: 3], Oh My! Literary Coreference Annotation with LLMs

Understand

Coreference annotation and resolution is a vital component of computational literary studies.

• However, it has previously been difficult to build high quality systems for fiction.
• Coreference requires complicated structured outputs, and literary text involves subtle inferences and highly varied language.
• New language-model-based seq2seq systems present the opportunity to solve both these problems by learning to directly generate a copy of an input sentence with markdown-like annotations.