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5 months ago

Extractive Summarization as Text Matching

Ming Zhong Pengfei Liu Yiran Chen Danqing Wang Xipeng Qiu Xuanjing Huang

Extractive Summarization as Text Matching

Abstract

Code Repositories

maszhongming/MatchSum
Official
pytorch
Mentioned in GitHub
HHousen/TransformerSum
pytorch
Mentioned in GitHub

Benchmarks

BenchmarkMethodologyMetrics
document-summarization-on-cnn-daily-mailMatchSum (BERT-base)
ROUGE-1: 44.22
ROUGE-2: 20.62
ROUGE-L: 40.38
document-summarization-on-cnn-daily-mailMatchSum (RoBERTa-base)
ROUGE-1: 44.41
ROUGE-2: 20.86
ROUGE-L: 40.55
extractive-document-summarization-on-cnnMatchSum
ROUGE-1: 44.41
ROUGE-2: 20.86
ROUGE-L: 40.55
text-summarization-on-bbc-xsumMatchSum
ROUGE-1: 24.86
ROUGE-2: 4.66
ROUGE-L: 18.41
text-summarization-on-pubmed-1MatchSum (BERT-base)
ROUGE-1: 41.21
ROUGE-2: 14.91
ROUGE-L: 36.75
text-summarization-on-reddit-tifuMatchSum
ROUGE-1: 25.09
ROUGE-2: 6.17
ROUGE-L: 20.13
text-summarization-on-wikihowMatchSum (BERT-base)
ROUGE-1: 31.85
ROUGE-2: 8.98
ROUGE-L: 29.58

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Extractive Summarization as Text Matching | Papers | HyperAI