Sentence extraction-based presentation summarization techniques and evaluation metrics

Abstract

This paper presents automatic speech summarization techniques and its evaluation metrics, focusing on sentence extraction-based summarization methods for making abstracts from spontaneous presentations. Since humans tend to summarize presentations by extracting important sentences from introduction and conclusion parts, this paper proposes a method using sentence location. Experimental results show that the proposed method significantly improves automatic speech summarization performance for the condition of 10% summarization ratio. Results of correlation analysis between subjective and objective evaluation scores confirm that objective evaluation metrics, including summarization accuracy, sentence F-measure and ROUGE-N, are effective for evaluating summarization techniques.