Papers with interference-resistant cross-attention module

1 papers
Refining Idioms Semantics Comprehension via Contrastive Learning and Cross-Attention (2024.lrec-main)

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Challenge: Existing methods based on deep learning struggle to grasp idiom semantics due to the figurative meanings of many idiomas deviating from their literal interpretations.
Approach: They propose a Chinese idiom cloze test to capture comprehensive idiomatics and a semantic sense contrastive learning module to enhance the representation of idiomics.
Outcome: The proposed model outperforms state-of-the-art models on the Chinese idiom cloze test and on other benchmark datasets.

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