Applying Co-Training to reference resolution

被引：0
|
作者：
Müller, C [1 ]
Rapp, S [1 ]
Strube, M [1 ]
机构：
[1] European Media Lab GmbH, D-69118 Heidelberg, Germany
来源：
40TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE | 2002年
关键词：
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：
In this paper, we investigate the practical applicability of Co-Training for the task of building a classifier for reference resolution. We are concerned with the question if Co-Training can significantly reduce the amount of manual labeling work and still produce a classifier with an acceptable performance.
引用
收藏
页码：352 / 359
页数：8
相关论文
共 50 条
  • [31] A Random Subspace Method for Co-training
    Wang, Jiao
    Luo, Si-wei
    Zeng, Xian-hua
    2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 195 - 200
  • [32] Multi-Label Co-Training
    Xing, Yuying
    Yu, Guoxian
    Domeniconi, Carlotta
    Wang, Jun
    Zhang, Zili
    PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, 2018, : 2882 - 2888
  • [33] Disagreement-Based Co-Training
    Tanha, Jafar
    van Someren, Maarten
    Afsarmanesh, Hamideh
    2011 23RD IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2011), 2011, : 803 - 810
  • [34] The Unsymmetrical-Style Co-training
    Wang, Bin
    Zhang, Harry
    Spencer, Bruce
    Guo, Yuanyuan
    ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT I: 15TH PACIFIC-ASIA CONFERENCE, PAKDD 2011, 2011, 6634 : 100 - 111
  • [35] Analyzing co-training style algorithms
    Wang, Wei
    Zhou, Zhi-Hua
    MACHINE LEARNING: ECML 2007, PROCEEDINGS, 2007, 4701 : 454 - +
  • [36] Contrastive Co-training for Diversified Recommendation
    Ma, Xiyao
    Hu, Qian
    Gao, Zheng
    AbdelHady, Mohamed
    2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2022,
  • [37] Co-training study for Online Regression
    Sousa, Ricardo
    Gama, Joao
    33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, 2018, : 529 - 531
  • [38] CoRec: A Co-Training Approach for Recommender Systems
    da Costa, Arthur F.
    Manzato, Marcelo G.
    Campello, Ricardo J. G. B.
    33RD ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, 2018, : 696 - 703
  • [39] Automatic Image Annotation Based on Co-training
    Ke, Xiao
    Chen, Guolong
    JOURNAL OF ALGORITHMS & COMPUTATIONAL TECHNOLOGY, 2014, 8 (01) : 1 - 16
  • [40] A general framework for co-training and its applications
    Liu, Weifeng
    Li, Yang
    Tao, Dapeng
    Wang, Yanjiang
    NEUROCOMPUTING, 2015, 167 : 112 - 121
12345