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README.md
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<div align="center">
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<img src="https://github.com/Babelscape/FENICE/blob/master/new_logo.png" height="
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# Factuality Evaluation of summarization based on Natural Language Inference and Claim Extraction
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[](https://2024.aclweb.org/program/finding_papers/)
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[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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<img src="https://github.com/Babelscape/FENICE/blob/master/Sapienza_Babelscape.png" height="70">
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FENICE (Factuality Evaluation of Summarization based on Natural Language Inference and Claim Extraction) is a factuality-oriented metric for summarization.
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This package implements the FENICE metric, allowing users to evaluate the factual consistency of document summaries.
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<div align="center">
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<img src="https://github.com/Babelscape/FENICE/blob/master/new_logo.png?raw=True" height="150">
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<img src="https://github.com/Babelscape/FENICE/blob/main/Sapienza_Babelscape.png?raw=true" height="50">
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</div>
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# Factuality Evaluation of summarization based on Natural Language Inference and Claim Extraction
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[](https://2024.aclweb.org/program/finding_papers/)
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[](https://creativecommons.org/licenses/by-nc-sa/4.0/)
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FENICE (Factuality Evaluation of Summarization based on Natural Language Inference and Claim Extraction) is a factuality-oriented metric for summarization.
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This package implements the FENICE metric, allowing users to evaluate the factual consistency of document summaries.
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