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Detecting-Contradictions-and-Entailment-in-Multilingual-Text

A PART OF NLI (NATURAL LANGUAGE INFERENCING CASE STUDY)

The task is to create an NLI model that assigns labels of 0, 1, or 2 (corresponding to entailment, neutral, and contradiction) to pairs of premises and hypotheses. To make things more interesting, the train and test set include text in fifteen different languages!

KAGGLE RANK - 14th OF 117 (TOP 14%)

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A case study of NLI ( Natural Language Inferencing) with Transfer Learning. Kaggle Competition Rank - 18th (Global)

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