Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data

Shi, Zhongmin; Sarkar, Anoop

Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data

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Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1634-1634.

Abstract

This paper introduces a new bootstrapping method closely related to co-training and scoped-learning. The method is tested on a Web information extraction task of learning course names from web pages in which we use very few labelled items as seed data (10 web pages) and combine with an unlabelled set (174 web pages). The overall performance improved the precision/recall from 3.11%/0.31% for a baseline EM-based method to 44.7%/44.1% for intimate learning.

Zhongmin Shi, and Anoop Sarkar. 2005. Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1634–1634. https://ijcai.org/proceedings/2005/325

@inproceedings{ijcai2005p325,
  title     = {Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data},
  author    = {Shi, Zhongmin and Sarkar, Anoop},
  booktitle = {Proceedings of the Nineteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-05}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {1634--1634},
  year      = {2005},
  url       = {https://ijcai.org/proceedings/2005/325},
}

TY  - CPAPER
TI  - Intimate Learning: A Novel Approach for Combining Labelled and Unlabelled Data
AU  - Shi, Zhongmin
AU  - Sarkar, Anoop
T2  - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2005
SP  - 1634
EP  - 1634
UR  - https://ijcai.org/proceedings/2005/325
ER  -