hsinyuan-huang/FusionNet-NLI

An example for applying FusionNet to Natural Language Inference

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This project helps natural language processing engineers determine if a conclusion can be logically inferred from a given premise. It takes in pairs of text statements (a premise and a hypothesis) and outputs a judgment on whether the hypothesis is true, false, or undetermined based on the premise. NLP developers and researchers working on understanding textual relationships would use this to build or evaluate inference systems.

134 stars. No commits in the last 6 months.

Use this if you are an NLP developer looking for an example implementation of the FusionNet model for natural language inference tasks.

Not ideal if you are a business user or data analyst wanting a ready-to-use tool for text analysis without any coding.

natural-language-processing textual-entailment machine-comprehension deep-learning AI-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 21 / 25

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Stars

134

Forks

36

Language

Python

License

Last pushed

Dec 10, 2018

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