Papers by Jingye Chen

2 papers
XDoc: Unified Pre-training for Cross-Format Document Understanding (2022.findings-emnlp)

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Challenge: Existing pre-trained models target one document format at a time, making it difficult to combine knowledge from multiple document formats.
Approach: They propose a unified pre-trained model which deals with different document formats in a single model.
Outcome: The proposed model achieves comparable or even better performance on a variety of downstream tasks compared with the individual pre-trained models.
Joint Alignment of Multi-Task Feature and Label Spaces for Emotion Cause Pair Extraction (2022.coling-1)

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Challenge: Existing methods for ECPE fail to model specific features and interactive features in between, or suffer from inconsistency of label prediction.
Approach: They propose to align ECPE with a feature-task alignment mechanism to model emotion-&cause-specific features and the shared interactive feature.
Outcome: The proposed model outperforms existing systems on all ECA subtasks.

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