Stefano Mezza — accepted AI-conference papers

2024

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen G Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza, Markus Zhang +3

NeurIPS 2024poster

We introduce OpenDebateEvidence, a comprehensive dataset for argument mining and summarization sourced from the American Competitive Debate community. This dataset includes over 3.5 million documents with rich metadata, making it one of the most extensive collections of debate evidence. OpenDebateEv…

Cited by 1 Source ↗PDF ↗Scholar ↗

2022

A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging

Stefano Mezza, Wayne Wobcke, Alan Blair

COLING 2022main

Dialogue Act tagging with the ISO 24617-2 standard is a difficult task that involves multi-label text classification across a diverse set of labels covering semantic, syntactic and pragmatic aspects of dialogue. The lack of an adequately sized training set annotated with this standard is a major pro…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗