coetaur0/ESIM
Implementation of the ESIM model for natural language inference with PyTorch
This project helps natural language processing researchers and practitioners evaluate if one text logically follows from another, contradicts it, or is neutral. You input two text sentences and the model outputs a classification of their relationship (entailment, contradiction, or neutral). This is useful for anyone working on understanding logical connections between statements, such as in dialogue systems or information extraction.
374 stars. No commits in the last 6 months.
Use this if you need to determine the logical relationship between two pieces of text to support tasks like question answering, summarization, or dialogue understanding.
Not ideal if you're looking for a low-code solution or a web application; this project requires familiarity with Python and deep learning frameworks.
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374
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106
Language
Python
License
Apache-2.0
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Last pushed
Aug 29, 2021
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