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A multi-classifier approach to dialogue act classification using function words

O'Shea, J, Bandar, Z and Crockett, K (2012) A multi-classifier approach to dialogue act classification using function words. In: Transactions on Computational Collective Intelligence VII. Springer.

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Abstract

This paper extends a novel technique for the classification of sentences as Dialogue Acts, based on structural information contained in function words. Initial experiments on classifying questions in the presence of a mix of straightforward and “difficult” non-questions yielded promising results, with classification accuracy approaching 90%. However, this initial dataset does not fully represent the various permutations of natural language in which sentences may occur. Also, a higher Classification Accuracy is desirable for real-world applications. Following an analysis of categorisation of sentences, we present a series of experiments that show improved performance over the initial experiment and promising performance for categorising more complex combinations in the future.

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