Papers by Yifang Qin

1 papers
Integrating Structural Semantic Knowledge for Enhanced Information Extraction Pre-training (2024.emnlp-main)

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Challenge: Existing pre-training methods focus on exploiting textual knowledge, which limits scalability and versatility of resulting models.
Approach: They propose a pre-training framework that integrates structural semantic knowledge via contrastive learning.
Outcome: The proposed framework outperforms state-of-the-art pre-training methods across multiple tasks.

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