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
  • [1] Applying co-training methods to statistical parsing
    Sarkar, A
    2ND MEETING OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, PROCEEDINGS OF THE CONFERENCE, 2001, : 175 - 182
  • [2] Applying co-training to clickthrough data for search engine adaptation
    Tan, QZ
    Chai, XY
    Ng, W
    Lee, DL
    DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, 2004, 2973 : 519 - 532
  • [3] DCPE Co-Training: Co-Training Based on Diversity of Class Probability Estimation
    Xu, Jin
    He, Haibo
    Man, Hong
    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, 2010,
  • [4] Bayesian Co-Training
    Yu, Shipeng
    Krishnapuram, Balaji
    Rosales, Romer
    Rao, R. Bharat
    JOURNAL OF MACHINE LEARNING RESEARCH, 2011, 12 : 2649 - 2680
  • [5] ROBUST CO-TRAINING
    Sun, Shiliang
    Jin, Feng
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2011, 25 (07) : 1113 - 1126
  • [6] Co-training for Policy Learning
    Song, Jialin
    Lanka, Ravi
    Yue, Yisong
    Ono, Masahiro
    35TH UNCERTAINTY IN ARTIFICIAL INTELLIGENCE CONFERENCE (UAI 2019), 2020, 115 : 1191 - 1201
  • [7] Co-training with Credal Models
    Soullard, Yann
    Destercke, Sebastien
    Thouvenin, Indira
    ARTIFICIAL NEURAL NETWORKS IN PATTERN RECOGNITION, 2016, 9896 : 92 - 104
  • [8] A review of research on co-training
    Ning, Xin
    Wang, Xinran
    Xu, Shaohui
    Cai, Weiwei
    Zhang, Liping
    Yu, Lina
    Li, Wenfa
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2023, 35 (18):
  • [9] On Co-training Style Algorithms
    Dong, Cailing
    Yin, Yilong
    Guo, Xinjian
    Yang, Gongping
    Zhou, Guangtong
    ICNC 2008: FOURTH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 7, PROCEEDINGS, 2008, : 196 - 201
  • [10] DCPE co-training for classification
    Xu, Jin
    He, Haibo
    Man, Hong
    NEUROCOMPUTING, 2012, 86 : 75 - 85
12345