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Brendan O’Connor

5 accepted papers

2025

Automated main concept generation for narrative discourse assessment in aphasia

ACL 2025finding

We present an interesting application of narrative understanding in the clinical assessment of aphasia, where story retelling tasks are used to evaluate a patient’s communication abilities. This clinical setting provides a framework to help operationalize narrative discourse analysis and an applicat…

2025

𝛿-Stance: A Large-Scale Real World Dataset of Stances in Legal Argumentation

ACL 2025long

We present 𝛿-Stance, a large-scale dataset of stances involved in legal argumentation. 𝛿-Stance contains stance-annotated argument pairs, semi-automatically mined from millions of examples of U.S. judges citing precedent in context using citation signals. The dataset aims to facilitate work on the l…

2024

Harnessing Toulmin’s theory for zero-shot argument explication

ACL 2024long

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⟩. The three slots, or argument components, are derived from th…

2023

Evaluating Zero-Shot Event Structures: Recommendations for Automatic Content Extraction (ACE) Annotations

ACL 2023short

Zero-shot event extraction (EE) methods infer richly structured event records from text, based only on a minimal user specification and no training examples, which enables flexibility in exploring and developing applications. Most event extraction research uses the Automatic Content Extraction (ACE)…