Dayne Freitag — accepted AI-conference papers

2025

CROSSNEWS: A Cross-Genre Authorship Verification and Attribution Benchmark

Marcus Ma, Duong Minh Le, Junmo Kang, Yao Dou, John Cadigan, Dayne Freitag +2

AAAI 2025technical

Authorship models have historically generalized poorly to new domains because of the wide distribution of author-identifying signals across domains. In particular, the effects of topic and genre are highly domain-dependent and impact authorship analysis performance greatly. This paper addresses the…

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2024

Schema-Driven Information Extraction from Heterogeneous Tables

Fan Bai, Junmo Kang, Gabriel Stanovsky, Dayne Freitag, Mark Dredze, Alan Ritter

EMNLP 2024finding

In this paper, we explore the question of whether large language models can support cost-efficient information extraction from tables. We introduce schema-driven information extraction, a new task that transforms tabular data into structured records following a human-authored schema. To assess vario…

Cited by 10 Source ↗PDF ↗code ↗Scholar ↗