The CNN-Corpus: A Large Textual Corpus for Single-Document Extractive Summarization

被引：7
|
作者：
Lins, Rafael Dueire [1 ,2 ]
Oliveira, Hilario [1 ]
Cabral, Luciano [1 ]
Batista, Jamilson [1 ]
Tenorio, Bruno [1 ]
Ferreira, Rafael [2 ]
Lima, Rinaldo [2 ]
Pereira e Silva, Gabriel de Franca [2 ]
Simske, Steven J. [3 ]
机构：
[1] Univ Fed Pernambuco, Recife, PE, Brazil
[2] Univ Fed Rural Pernambuco, Recife, PE, Brazil
[3] Colorado State Univ, Ft Collins, CO 80523 USA
来源：
DOCENG'19: PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING 2019 | 2019年
关键词：
Single-document Summarization; Corpus; Extractive Summarization; Multi-language Summarization;
D O I：
10.1145/3342558.3345388
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper details the features and the methodology adopted in the construction of the CNN-corpus, a test corpus for single document extractive text summarization of news articles. The current version of the CNN-corpus encompasses 3,000 texts in English, and each of them has an abstractive and an extractive summary. The corpus allows quantitative and qualitative assessments of extractive summarization strategies.
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收藏
页数：10
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