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Kathryn Conger

2 accepted papers

2023

GLEN: General-Purpose Event Detection for Thousands of Types

EMNLP 2023long main

The progress of event extraction research has been hindered by the absence of wide-coverage, large-scale datasets. To make event extraction systems more accessible, we build a general-purpose event detection dataset GLEN, which covers 205K event mentions with 3,465 different types, making it more t…

Cited by 0SourcecodeScholar
2022

NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge

EMNLP 2022main

Claim detection and verification are crucial for news understanding and have emerged as promising technologies for mitigating misinformation and disinformation in the news. However, most existing work has focused on claim sentence analysis while overlooking additional crucial attributes (e.g., the c…