Chinese Paraphrases Acquisition Based on Random Walk N Step

摘要：

　　Conventional “pivot-based approach of acquiring paraphrasing from bilingual corpus has limitations,where only paraphrases within two steps were considered.We propose a graph based model of acquiring paraphrases from phrases translation table.This paper describes the way of constructing graph model from phrases translation table,a random walk algorithm based on N number of steps and a confidence metric for ranking the obtained results.Furthermore,we augment the model to be able to integrate more language pairs,for instance,exploiting English-Japanese phrases translation table for finding more potential Chinese paraphrases.We performed experiments on NTCIR Chinese-English and English-Japanese bilingual corpora and compared with the conventional method.The experimental results showed that the proposed model acquired more paraphrases,and performed more well after English-Japanese phrases translation was added into the graph model.

关键词： Paraphrases acquisition Random walk Graph model

作者: Jun Ma Yujie Zhang Jinan Xu Yufeng Chen

作者单位: School of Computer and Information Technology Beijing Jiaotong University

会议类型: 国际会议

会议名称: 第五届自然语言处理与中文计算会议(NLPCC-ICCPOL2016)

会议地点: 昆明

会议语种:英文

页码: 1-9

在线出版日期: 2016-12-02（万方平台首次上网日期，不代表论文的发表时间）