Today we announce a novel, open-source method for text generation tasks (e.g., summarization or sentence fusion), which uses edit operations instead of generating text from scratch, leading to less errors and faster model execution. Read about it below.https://goo.gle/38XfRXU
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I haven't read the paper in detail yet, but I remember something similar for sentence simplificationhttps://www.aclweb.org/anthology/P19-1331/ …
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EditNTS is indeed very related to LaserTagger. It came out only after we had submitted the LaserTagger paper, but we cite it in the camera ready and discuss the differences.
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Sequence tagging has also been used for token-level extractive summarization before. I would say the main novelty is the ability to add new text via a phrase vocabulary and the way that vocabulary is constructed.
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