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Abstractive Summarization as Augmentation for Document-Level Event Detection
In this work, we attempt to bridge the performance gap between shallow and deep models on document-level event detection by using abstractive text summarization as an augmentation method.
Data Augmentation for Neural NLP
Data scarcity is a problem that occurs in languages and tasks where we do not have large amounts of labeled data but want to use state-of-the-art models.
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