2022
NAACL
NAACL 2022
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
Abstract
AbstractThis paper shows how to use large-scale pretrained language models to extract character roles from narrative texts without domain-specific training data. Queried with a zero-shot question-answering prompt, GPT-3 can identify the hero, villain, and victim in diverse domains: newspaper articles, movie plot summaries, and political speeches.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
🧭
Keyword Pioneer
— zero-shot question-answering
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio