Papers by Ethan Zuckerman

1 papers
Harnessing Toulmin’s theory for zero-shot argument explication (2024.acl-long)

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Challenge: To better analyze informal arguments on public forums, we propose the task of argument explication, which makes explicit a text’s argumentative structure and implicit reasoning by outputting triples of propositions claim, reason warrant.
Approach: They propose to prompt generative large language models to output explicit argument components proposed by Toulmin by prompting with the theory name.
Outcome: The proposed method evaluates the outputs’ coverage and validity through a human study and automatic evaluation based on prior argumentation datasets and performs robustness checks over alternative LMs, prompts, and argumentation theories.

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