Distance Based Active Learning for Domain Adaptation

Christian Pölitz

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Paper

Distance Based Active Learning for Domain Adaptation

Topics: Active Learning; Natural Language Processing

In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, 296-303, 2015 , Lisbon, Portugal

Author: Christian Pölitz

Affiliation: Technische Universität Dortmund, Germany

Keyword(s): Transfer Learning, Active Learning.

Related Ontology Subjects/Areas/Topics: Active Learning ; Applications ; Artificial Intelligence ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Natural Language Processing ; Pattern Recognition ; Symbolic Systems ; Theory and Methods

Abstract: We investigate methods to apply Domain Adaptation coupled with Active Learning to reduce the number of labels needed to train a classifier. We assume to have a classification task on a given unlabelled set of documents and access to labels from different documents of other sets. The documents from the other sets come from different distributions. Our approach uses Domain Adaptation together with Active Learning to find a minimum number of labelled documents from the different sets to train a high quality classifier. We assume that documents from different sets that are close in a latent topic space can be used for a classification task on a given different set of documents.

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Paper citation in several formats:

Pölitz, C. (2015). Distance Based Active Learning for Domain Adaptation. In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-758-076-5; ISSN 2184-4313, SciTePress, pages 296-303. DOI: 10.5220/0005217302960303

@conference{icpram15,
author={Christian Pölitz.},
title={Distance Based Active Learning for Domain Adaptation},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2015},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005217302960303},
isbn={978-989-758-076-5},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - Distance Based Active Learning for Domain Adaptation
SN - 978-989-758-076-5
IS - 2184-4313
AU - Pölitz, C.
PY - 2015
SP - 296
EP - 303
DO - 10.5220/0005217302960303
PB - SciTePress