Beyond Attribute-Value Case Representation (BEAR)

被引：0
|
作者：
机构：
来源：
CEUR Workshop Proceedings | 2023年 / 3438卷
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [21] Semi-Supervised Learning of Attribute-Value Pairs from Product Descriptions
    Probst, Katharina
    Ghani, Rayid
    Krema, Marko
    Fano, Andrew
    Liu, Yan
    20TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2007, : 2838 - 2843
  • [22] Easing the transition between attribute-value databases and conventional databases for scientific data
    Nadkarni, P
    Marenco, L
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2001, : 483 - 487
  • [23] Implementation of a meta-property based quantity attribute-value extraction system
    Lu, Han
    Cao, Cungen
    Wang, Shi
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2010, 47 (10): : 1741 - 1748
  • [24] Temporal query of attribute-value patient data: utilizing the constraints of clinical studies
    Deshpande, AM
    Brandt, C
    Nadkarni, PM
    INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2003, 70 (01) : 59 - 77
  • [25] A Self-Supervised Approach for Extraction of Attribute-Value Pairs from Wikipedia Articles
    Brandao, Wladmir C.
    Moura, Edleno S.
    Silva, Altigran S.
    Ziviani, Nivio
    STRING PROCESSING AND INFORMATION RETRIEVAL, 2010, 6393 : 279 - +
  • [26] Name Resolution Based on Set of Attribute-Value Pairs of Real-World Information
    Kawahara, Ryoichi
    Saito, Hiroshi
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2017, E100B (01) : 110 - 121
  • [27] Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching
    Lim, Zhe
    Rubinstein, Benjamin I. P.
    PROCEEDINGS OF THE TWENTY-NINTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2015, : 1791 - 1797
  • [28] Hierarchical attribute-value schema enables extensible controlled vocabularies systematizing neuroscience databases.
    Gardner, D
    Knuth, KH
    DeBellis, R
    Abato, M
    BIOPHYSICAL JOURNAL, 2000, 78 (01) : 218A - 218A
  • [29] ADAPTATION TO A METHODOLOGY OF DATA MINING FOR APPLYING TO UN-SUPERVISED PROBLEMS TYPE ATTRIBUTE-VALUE
    Rodriguez Leon, Ciro
    Garcia Lorenzo, Maria Matilde
    REVISTA UNIVERSIDAD Y SOCIEDAD, 2016, 8 (04): : 42 - 52
  • [30] An Attribute-Value Block Based Method of Acquiring Minimum Rule Sets: A Granulation Method to Construct Classifier
    Meng, Zuqiang
    Gan, Qiuling
    INTELLIGENT INFORMATION PROCESSING VIII, 2016, 486 : 3 - 11
12345