CIST@CLSciSumm-19: Automatic Scientific Paper Summarization with Citances and Facets
点击次数：
所属单位：
北京邮电大学
教研室：
智能科学与技术中心
发表刊物：
Proceedings of the 4th Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2019), co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019)
关键字：
Citation Linkage, Facet Classification, Summarization
摘要：
Starting from its former version, CIST@CLSciSumm-18, our CIST@CLSciSumm-19 system is going to participate in the shared Task 1A (citation linkage), Task 1B (facet classification) and Task 2 (summarization) in CLSciSumm-19@SIGIR2019. We build a new feature of Word2vec H for the CNN model to calculate sentence similarity for citation linkage. We adopt CNN and RNN variants for facet classification. And in order to improve the performance of summarization, we develop more semantic representations for sentences based on neural network language models to construct new kernel matrix used in DPPs.
论文类型：
论文集
第一作者：
李蕾
合写作者：
谢旸,黄祖莹,刘维,李星原,刘一男
通讯作者：
朱颖奇
学科门类：
工学
一级学科：
计算机科学与技术*
文献类型：
C
页面范围：
196-207
字数：
4550
是否译文：
否
发表时间：
2019-07-25
收录刊物：
EI
学位：博士学位
职称：教授
学科：计算机科学与技术*
所在单位：人工智能学院