vanzytay/EMNLP2018_NLI
Repository for NLI models (EMNLP 2018)
This project provides tools for natural language inference (NLI), which is about determining the relationship between two sentences. It takes a pair of text sentences as input and outputs whether one sentence logically entails the other, contradicts it, or if they are neutral. This is primarily for researchers and practitioners working on advanced natural language processing tasks who need to classify the logical relationship between textual statements.
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Use this if you are a researcher or NLP engineer focused on text entailment tasks and need to implement or benchmark high-performance models for determining logical relationships between sentence pairs.
Not ideal if you are looking for a pre-trained, production-ready NLI service or a user-friendly API without needing to engage with model training or deep learning frameworks.
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Language
Python
License
GPL-3.0
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Last pushed
Nov 14, 2018
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