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Scott Miller

2 accepted papers

2022

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

NAACL 2022long

Event extraction requires high-quality expert human annotations, which are usually expensive. Therefore, learning a data-efficient event extraction model that can be trained with only a few labeled examples has become a crucial challenge. In this paper, we focus on low-resource end-to-end event extr…

2022

Language Model Priming for Cross-Lingual Event Extraction

AAAI 2022technical

We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-shot cross-lingual settings. With priming, we augment the input to the transformer stack's language model differently de…