If you use this data in your research, please refer to and cite: Zhichao Hu and Marilyn A. Walker. "Inferring Narrative Causality between Event Pairs in Films," In SIGdial Meeting on Discourse and Dialogue (SIGDIAL 2017), Saarbrücken, Germany, August 2017.
Overview: Telling and understanding stories is a central part of human experience, and many types of human communication involve narrative structures. Theories of narrative posit that narrative causality underlies human understanding of a narrative. Our focus here is the four different relations posited by narrative theories to underly narrative coherence:
• PHYSICAL: Event A physically causes event B to happen
• MOTIVATIONAL: Event A happens with B as a motivation
• PSYCHOLOGICAL: Event A brings about emotions (expressed in event B)
• ENABLING: Event A creates a state or condition for B to happen. A enables B.
Data: This dataset contains evaluation data used in all experiments for the aforementioned paper:
• Experiment 1, High vs. Low CPC Event Pairs: top/bottom narrative causality pairs from each genre, evaluation questions and results
• Experiment 2, CPC vs. Rel-gram Event Pairs: evaluation questions and results
• Experiment 3, Narrative Causality Types: evaluation questions and results
• Experiment 4, Genre Specific Causality: evaluation questions and results
Download: Please fill out the following form to download the Contingent Event Evaluation Data and film scene data.
GitHub: https://github.com/zhichaohu/narrative-causality-event-pairs
Contact: Please direct questions to Zhichao Hu: zhu [at] ucsc [dot] edu
Website last updated June 21, 2024.