Model Card: T5 base summarization claim extractor Model Description Model Name: T5 base summarization claim extractor Authors: Alessandro Scirè, Karim Ghonim, and Roberto Navigli Contact: scire@diag.uniroma1.it, scire@babelscape.com Language: English Primary Use: Extraction of atomic claims from a summary Overview The T5 base summarization claim extractor is a model developed for the task of extracting atomic claims from summaries. The model is based on the T5 architecture which is then fine tuned specifically for claim extraction. This model was introduced as part of the research presented in the paper "FENICE: Factuality Evaluation of summarization based on Natural Language Inference and Claim Extraction" by Alessandro Scirè, Karim Ghonim, and Roberto Navigli. FENICE leverages Natural Language Inference (NLI) and Claim Extraction to evaluate the factuality of summaries. ArXiv version. Intended Use This model is designed to: Extract atomic claims from summaries. Serve as a component in pipelines for factuality evaluation of summaries. Example Code Note : The model outputs the claims in a single string. Kindly remember to split the string into sentences in order to retrieve the sin…
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