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Found 2 papers, 1 papers with code
Revisiting text decomposition methods for NLI-based factuality scoring of summaries
In this paper we systematically compare different granularities of decomposition -- from document to sub-sentence level, and we show that the answer is no.
Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversations
We show that fluent and adequate summaries can be generated with limited training data by fine-tuning BART on a specially constructed dataset.
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