Raising-hrx/MetGen
An implementation for MetGen: A Module-Based Entailment Tree Generation Framework for Answer Explanation.
MetGen helps researchers and academics working with natural language processing by generating step-by-step explanations for answers derived from text. It takes a question and a body of evidence (like documents or passages) as input and outputs a logical 'entailment tree' showing how the answer is reached from the evidence. This is useful for anyone needing to understand or demonstrate the reasoning behind an NLP model's conclusion.
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Use this if you need to explain how a language model arrived at a specific answer, showing the intermediate logical steps and supporting evidence.
Not ideal if you are looking for a tool to directly answer questions or summarize documents without needing a detailed, step-by-step explanation of the reasoning.
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Language
Python
License
Apache-2.0
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Last pushed
Jul 21, 2022
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