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Authors: Maria Semenkina ; Shakhnaz Akhmedova and Eugene Semenkin

Affiliation: Siberian State Aerospace University, Russian Federation

ISBN: 978-989-758-263-9

Keyword(s): Nonlinguistic Information Extraction, Semi-supervised Learning, Bio-inspired Algorithms, Evolutionary Algorithms.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Computational Intelligence ; Enterprise Information Systems ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Optimization Algorithms ; Soft Computing

Abstract: The concept of nonlinguistic information includes all types of extra linguistic information such as factors of age, emotion and physical states, accent and others. Semi-supervised techniques based on using both labelled and unlabelled examples can be an efficient tool for solving nonlinguistic information extraction problems with large amounts of unlabelled data. In this paper a new cooperation of biology related algorithms (COBRA) for semi-supervised support vector machines (SVM) training and a new self-configuring genetic algorithm (SelfCGA) for the automated design of semi-supervised artificial neural networks (ANN) are presented. Firstly, the performance and behaviour of the proposed semi-supervised SVMs and semi-supervised ANNs were studied under common experimental settings; and their workability was established. Then their efficiency was estimated on a speech-based emotion recognition problem.

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Paper citation in several formats:
Semenkina, M.; Akhmedova, S. and Semenkin, E. (2017). Nonlinguistic Information Extraction by Semi-Supervised Techniques.In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-263-9, pages 312-317. DOI: 10.5220/0006438703120317

@conference{icinco17,
author={Maria Semenkina. and Shakhnaz Akhmedova. and Eugene Semenkin.},
title={Nonlinguistic Information Extraction by Semi-Supervised Techniques},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2017},
pages={312-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006438703120317},
isbn={978-989-758-263-9},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Nonlinguistic Information Extraction by Semi-Supervised Techniques
SN - 978-989-758-263-9
AU - Semenkina, M.
AU - Akhmedova, S.
AU - Semenkin, E.
PY - 2017
SP - 312
EP - 317
DO - 10.5220/0006438703120317

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