Concept Labeling: Building Text Classifiers with Minimal Supervision
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 1225-1229.
Abstract
The rapid construction of supervised text classification models is becoming a pervasive need across many modern applications. To reduce human-labeling bottlenecks, many new statistical paradigms (e.g., active, semi-supervised, transfer and multi-task learning) have been vigorously pursued in recent literature with varying degrees of empirical success. Concurrently, the emergence of Web 2.0 platforms in the last decade has enabled a world-wide, collaborative human effort to construct a massive ontology of concepts with very rich, detailed and accurate descriptions. In this paper we propose a new framework to extract supervisory information from such ontologies and complement it with a shift in human effort from direct labeling of examples in the domain of interest to the much more efficient identification of concept-class associations. Through empirical studies on text categorization problems using the Wikipedia ontology, we show that this shift allows very high-quality models to be immediately induced at virtually no cost.
@inproceedings{ijcai2011p208,
title = {Concept Labeling: Building Text Classifiers with Minimal Supervision},
author = {Chenthamarakshan, Vijil and Melville, Prem and Sindhwani, Vikas and Lawrence, Richard D.},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {1225--1229},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-208},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-208},
}
TY - CPAPER TI - Concept Labeling: Building Text Classifiers with Minimal Supervision AU - Chenthamarakshan, Vijil AU - Melville, Prem AU - Sindhwani, Vikas AU - Lawrence, Richard D. T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 1225 EP - 1229 DO - 10.5591/978-1-57735-516-8/IJCAI11-208 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-208 ER -Copied
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