Leveraging Locality in Abstractive Text Summarization

Neural attention models have achieved significant improvements on many natural language processing tasks. However, the quadratic memory complexity of the self-attention module with respect to the input length hinders their applications in long text summarization. Instead of designing more efficient...

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Veröffentlicht in:	arXiv.org 2022-10
Hauptverfasser:	Liu, Yixin, Ni, Ansong, Linyong Nan, Budhaditya Deb, Zhu, Chenguang, Awadallah, Ahmed H, Radev, Dragomir
Format:	Artikel
Sprache:	eng
Schlagworte:	Context Memory tasks Modules Sentences Task complexity
Online-Zugang:	Volltext
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