PKU Paraphrase Bank: A Sentence-Level Paraphrase Corpus for Chinese

被引：3

作者：

Zhang, Bowei ^{[1
,2
,4
]}

Sun, Weiwei ^{[1
,2
,3
]}

Wan, Xiaojun ^{[1
,2
]}

Guo, Zongming ^{[1
]}

机构：

[1] Peking Univ, Inst Comp Sci & Technol, Beijing, Peoples R China

[2] Peking Univ, MOE Key Lab Computat Linguist, Beijing, Peoples R China

[3] Peking Univ, Ctr Chinese Linguist, Beijing, Peoples R China

[4] Peking Univ, Ctr Data Sci, Beijing, Peoples R China

来源：

NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING (NLPCC 2019), PT I | 2019年 / 11838卷

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

Paraphrase; Paraphrase extraction; Sentence embedding; Sentence similarity;

D O I：

10.1007/978-3-030-32233-5_63

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the main challenges of conducting research on paraphrase is the lack of large-scale, high-quality corpus, which is particularly serious for non-English investigations. In this paper, we present a simple and effective unsupervised learning model that is able to automatically extract high-quality sentence-level paraphrases from multiple Chinese translations of the same source texts. By applying this new model, we obtain a large-scale paraphrase corpus, which contains 509,832 pairs of paraphrased sentences. The quality of this new corpus is manually examined. Our new model is language-independent, meaning that such paraphrase corpora for other languages can be built in the same way.

引用

页码：814 / 826

页数：13

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