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An advantage of seq2seq abstractive summarization models is that they generate text in a free-form manner, but this flexibility makes it difficult to interpret model behavior.
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer
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Neural Text Summarization: A Critical Evaluation
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Calibration of Pre-trained Transformers
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FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
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Tanya Goyal and Greg Durrett. 2020 · 2020
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