ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization

Neural models trained on large amounts of parallel data have achieved impressive performance in abstractive summarization tasks. However, constructing large-scale parallel corpora can be expensive and challenging. In this work, we introduce a low-cost and effective strategy called ExtraPhrase to aug...

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Veröffentlicht in:	Journal of Natural Language Processing 2023, Vol.30(2), pp.489-506
Hauptverfasser:	Loem, Mengsay, Takase, Sho, Kaneko, Masahiro, Okazaki, Naoaki
Format:	Artikel
Sprache:	eng ; jpn
Schlagworte:	Data Augmentation Paraphrase Summarization
Online-Zugang:	Volltext
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