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Cross-Lingual Natural Language Inference

Using data and models available for one language for which ample such resources are available (e.g., English) to solve a natural language inference task in another, commonly more low-resource, language.

Papers

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Showing 1–10 of 31 papers

TitleStatusHype
BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingCode3
mGPT: Few-Shot Learners Go MultilingualCode2
Do Multilingual Language Models Think Better in English?Code1
Subword Mapping and Anchoring across LanguagesCode1
ByT5: Towards a token-free future with pre-trained byte-to-byte modelsCode1
Better Fine-Tuning by Reducing Representational CollapseCode1
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondCode1
Supervised Learning of Universal Sentence Representations from Natural Language Inference DataCode1
Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction—0
Leveraging Entailment Judgements in Cross-Lingual SummarisationCode0
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