Papers with cross-lingual natural language understanding

3 papers
Mining Cross-Cultural Differences and Similarities in Social Media (P18-1)

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Challenge: a new paper examines the problem of computing cross-cultural differences and similarities in natural language understanding . cross-culture differences are important for cross-lingual research, especially in social media .
Approach: They propose a framework for computing cross-cultural differences and similarities from social media . they propose to use a social media platform to find similar terms for slang across languages .
Outcome: The proposed framework outperforms baseline methods on two novel tasks.
Enhancing Cross-lingual Natural Language Inference by Prompt-learning from Cross-lingual Templates (2022.acl-long)

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Challenge: Existing methods for enhancing pre-trained cross-lingual language models with additional data are rare in practice, especially for low-resource languages.
Approach: They propose a prompt-learning framework for enhancing cross-lingual natural language inference by constructing cloze-style questions through cross-linguistic templates.
Outcome: The proposed framework significantly outperforms existing models under cross-lingual transfer settings.
UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding (2024.lrec-main)

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Challenge: Existing studies rely on shallow unsupervised data generated by token surface matching regardless of global context-aware semantics of the surrounding text tokens.
Approach: They propose an Unsupervised Pseudo Semantic Data Augmentation mechanism to enrich training data without human intervention.
Outcome: The proposed model improves on general zero-shot cross-lingual understanding tasks on different languages without human intervention.

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