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

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

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Experimental

This tool helps you automatically identify relationships between different pieces of text, even across multiple languages. You input a main statement (premise) and a second statement (hypothesis), and it tells you if the second statement supports, contradicts, or is unrelated to the first. This is ideal for anyone working with large volumes of text, such as content moderators, legal professionals, or researchers.

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Use this if you need to quickly determine if one text snippet logically follows from, contradicts, or is neutral towards another, especially when dealing with multilingual content.

Not ideal if you're looking for a tool to generate new text, summarize documents, or perform sentiment analysis, as its focus is on logical text relationships.

content-moderation legal-document-analysis multilingual-text-comparison information-verification research-analysis
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Adoption 5 / 25
Maturity 16 / 25
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Jupyter Notebook

License

MIT

Last pushed

Sep 30, 2021

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