Extracting Key Entities and Significant Events from Online Daily News

被引：0
|
作者：
Liu, Mingrong [1 ]
Liu, Yicen [1 ]
Xiang, Liang [1 ]
Chen, Xing [1 ]
Yang, Qing [1 ]
机构：
[1] Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China
来源：
INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING - IDEAL 2008 | 2008年 / 5326卷
关键词：
web news mining; entity; mutual reinforcement; event;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To help people obtain the most important information daily in the shortest time, a novel framework is presented for simultaneous key entities extraction and significant events mining from daily web news. The technique is mainly based on modeling entities and news documents as weighted undirected bipartite graph, which consists of three steps. First, key entities are extracted by scoring all candidate entities on a specific day and tracking their trends within a specific time window. Second, a weighted undirected bipartite graph is built based on entities and related news documents, then mutual reinforcement is imposed on the bipartite graph to rank both of them. Third, clustering on news articles generates daily significant events. Experimental study shows effectiveness of this approach.
引用
收藏
页码：201 / 209
页数：9
相关论文
共 50 条
  • [1] Extracting news events from microblogs
    Repp, Oystein
    Ramampiaro, Heri
    [J]. JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS, 2018, 21 (04): : 695 - 723
  • [2] Mining events and new name translations from online daily news
    Lam, W
    Cheung, PS
    Huang, RZ
    [J]. JCDL 2004: PROCEEDINGS OF THE FOURTH ACM/IEEE JOINT CONFERENCE ON DIGITAL LIBRARIES: GLOBAL REACH AND DIVERSE IMPACT, 2004, : 287 - 295
  • [3] Extracting biomedical events from pairs of text entities
    Xiao Liu
    Antoine Bordes
    Yves Grandvalet
    [J]. BMC Bioinformatics, 16
  • [4] Extracting biomedical events from pairs of text entities
    Liu, Xiao
    Bordes, Antoine
    Grandvalet, Yves
    [J]. BMC BIOINFORMATICS, 2015, 16
  • [5] SCISOR - EXTRACTING INFORMATION FROM ONLINE NEWS
    JACOBS, PS
    RAU, LF
    [J]. COMMUNICATIONS OF THE ACM, 1990, 33 (11) : 88 - 97
  • [6] Key-based method for extracting entities from XML data
    [J]. Liu, X. (xianmliu@gmail.com), 1600, Science Press (51):
  • [7] Extracting and Displaying Temporal and Geospatial Entities from Articles on Historical Events
    Chasin, Rachel
    Woodward, Daryl
    Witmer, Jeremy
    Kalita, Jugal
    [J]. COMPUTER JOURNAL, 2014, 57 (03): : 403 - 426
  • [8] SEED: A Framework for Extracting Social Events from Press News
    Orlando, Salvatore
    Pizzolon, Francesco
    Tolomei, Gabriele
    [J]. PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'13 COMPANION), 2013, : 1285 - 1293
  • [9] Extracting Space Situational Awareness Events from News Text
    Xie, Zhengnan
    Kwak, Alice Saebom
    George, Enfa
    Dozal, Laura W.
    Van, Hoang
    Jah, Moriba
    Furfaro, Roberto
    Jansen, Peter
    [J]. LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION, 2022, : 6077 - 6082
  • [10] Extracting Entities and Events from Cyber-Physical Security Incident Reports
    Ramrakhiyani, Nitin
    Patil, Sangameshwar
    Jella, Manideep
    Kumar, Alok
    Palshikar, Girish K.
    [J]. 2022 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS, ICDMW, 2022, : 602 - 609
12345