A domain-based automatic text summarization system

被引:0
|
作者
Geng, Zengmin [1 ]
Jia, Yunde [1 ]
Liu, Wanchun [1 ]
Du, Jianxia [1 ]
机构
[1] Beijing Inst Technol, Dept Comp Sci & Engn, Beijing 100081, Peoples R China
关键词
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A new method for automatic text summarization which combines sentence extraction and domain knowledge is proposed, and an automatic text summarization system is developed based on the above method. First, construct a corpus and knowledge base based on domain knowledge. And every sentence in the knowledge base is expressed by a vector of eight elements including domain word features, sentence location features, sentence length feature, associated features in knowledge base and etc. Next, calculate the weight of each sentence to compose the coarse text summary by selecting the sentences with bigger weights. Finally, post-process the coarse text summarization to create a smooth and readable summary infilling the text summarization frame based on grammar and domain knowledge base. Domain experts' evaluation on our system shows that the text summarization method presented in this paper is effective and feasible.
引用
收藏
页码:64 / 68
页数:5
相关论文
共 50 条
  • [21] Advances in automatic text summarization
    Sanderson, M
    COMPUTATIONAL LINGUISTICS, 2000, 26 (02) : 280 - 281
  • [22] Survey on Automatic Text Summarization
    Li J.
    Zhang C.
    Chen X.
    Hu Y.
    Liao P.
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2021, 58 (01): : 1 - 21
  • [23] Advances in Automatic Text Summarization
    Elizabeth Liddy
    Information Retrieval, 2001, 4 (1): : 82 - 83
  • [24] Automatic Text Summarization Approaches
    Al-Taani, Ahmad T.
    2017 INTERNATIONAL CONFERENCE ON INFOCOM TECHNOLOGIES AND UNMANNED SYSTEMS (TRENDS AND FUTURE DIRECTIONS) (ICTUS), 2017, : 93 - 94
  • [25] Text Semantics Based Automatic Summarization for Chinese Videos
    WANG Xingqi
    ZHA Taotao
    WU Chunming
    FANG Jinglong
    JIANG Ming
    Chinese Journal of Electronics, 2015, 24 (03) : 462 - 467
  • [26] An automatic text summarization based on valuable sentences selection
    Mahalleh E.R.
    Gharehchopogh F.S.
    International Journal of Information Technology, 2022, 14 (6) : 2963 - 2969
  • [27] Automatic text structuring and summarization
    Salton, G
    Singhal, A
    Mitra, M
    Buckley, C
    INFORMATION PROCESSING & MANAGEMENT, 1997, 33 (02) : 193 - 207
  • [28] Automatic Text Summarization: A review
    Zerari, Naima
    Aitouche, Samia
    Mouss, Mohamed Djamel
    Yaha, Asma
    NINTH INTERNATIONAL CONFERENCE ON INFORMATION, PROCESS, AND KNOWLEDGE MANAGEMENT (EKNOW 2017), 2017, : 20 - 25
  • [29] Convolutional Neural Network based for Automatic Text Summarization
    Alquliti, Wajdi Homaid
    Ghani, Norjihan Binti Abdul
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2019, 10 (04) : 200 - 211
  • [30] Automatic text summarization based on latent semantic indexing
    Ai, Dongmei
    Zheng, Yuchao
    Zhang, Dezheng
    ARTIFICIAL LIFE AND ROBOTICS, 2010, 15 (01) : 25 - 29