Data Augmentation Method

method ID: dataaugmentationmethod

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Publication: TIPSTER (2019)

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AbstractTraditional approaches to the task of ACE event extraction usually depend on manually annotated data, which is often laborious to create and limited in size. Therefore, in addition to the …...

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NAT: Noise-Aware Training for Robust Neural Sequence Labeling

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AbstractSequence labeling systems should perform reliably not only under ideal conditions but also with corrupted inputs—as these systems often process user-generated text or follow an error-prone upstream component. To this …...

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Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues

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AbstractThe construction of open-domain dialogue systems requires high-quality dialogue datasets. The dialogue data admits a wide variety of responses for a given dialogue history, especially responses with different semantics. However, …...

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