An Approach to Off-talk Detection based on Text Classification within an Automatic Spoken Dialogue System

Oleg Akhtiamov, Roman Sergienko, Wolfgang Minker

Abstract

This paper describes the problem of the off-talk detection within an automatic spoken dialogue system. The considered corpus contains realistic conversations between two users and an SDS. A two- (on-talk and off-talk) and a three-class (on-talk, problem-related off-talk, and irrelevant off-talk) problem statement are investigated using a speaker-independent approach to cross-validation. A novel off-talk detection approach based on text classification is proposed. Seven different term weighting methods and two classification algorithms are considered. As a dimensionality reduction method, a feature transformation based on term belonging to classes is applied. The comparative analysis of the proposed approach and a baseline one is performed; as a result, the best combinations of the text pre-processing methods and classification algorithms are defined for both problem statements. The novel approach demonstrates significantly better classification effectiveness in comparison with the baseline for the same task.

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Paper Citation


in Harvard Style

Akhtiamov O., Sergienko R. and Minker W. (2016). An Approach to Off-talk Detection based on Text Classification within an Automatic Spoken Dialogue System . In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 288-293. DOI: 10.5220/0005977802880293


in Bibtex Style

@conference{icinco16,
author={Oleg Akhtiamov and Roman Sergienko and Wolfgang Minker},
title={An Approach to Off-talk Detection based on Text Classification within an Automatic Spoken Dialogue System},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005977802880293},
isbn={978-989-758-198-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - An Approach to Off-talk Detection based on Text Classification within an Automatic Spoken Dialogue System
SN - 978-989-758-198-4
AU - Akhtiamov O.
AU - Sergienko R.
AU - Minker W.
PY - 2016
SP - 288
EP - 293
DO - 10.5220/0005977802880293