SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization-Reference-Cited by-同舟云学术

SPEC: Summary Preference Decomposition for Low-Resource Abstractive Summarization

Author:

Chen Yi-Syuan¹,Song Yun-Zhu¹,Shuai Hong-Han¹^ORCID

Affiliation:

1. Department of Electronics and Electrical Engineering, National Yang Ming Chiao Tung University, Hsinchu, Taiwan

Funder

National Science and Technology Council (NSTC) of Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Link

Reference66 articles.

1. PEGASUS: Pre-training with extracted gap-sentences for abstractive summarization;zhang;Proc 37th Int Conf Mach Learn,0

2. Using the triangle inequality to accelerate k-means;elkan;Proc 20th Int Conf Int Conf Mach Learn,0

4. Teaching machines to read and comprehend;hermann;Proc Adv Neural Inf Process Syst,0

5. Colorful image colorization;zhang;Proc Comput Vis,0

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