Papers by David G Hobson

1 papers
Evaluating Taxonomy Free Character Role Labeling (TF-CRL) in News Stories using Large Language Models (2025.emnlp-main)

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Challenge: TF-CRL assigns open-ended narrative role labels to characters in news stories based on their functional role in the narrative.
Approach: They propose a task that assigns open-ended narrative role labels to characters in news stories based on their functional role in the narrative.
Outcome: The proposed task outperforms human annotators across dimensions and shows that it is robust to human preference rankings and ratings.

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