Abstract
An automatic document summarization is one of the essential techniques to display on small devices such as mobile phones and other handheld devices. Most researches in automatic document summarization have focused on extraction of sentences. Sentences extracted as a summary are so long that even a summary is not easy to be displayed in a small device. Therefore, compressing sentences is practically helpful for displaying in a small device. In this paper, we present a pilot system that can automatically compress a Korean sentence using the knowledge extracted from news articles and their headlines. A compressed sentence generated by our system resembles a headline of news articles, so it can be one of the briefest forms preserving the core meaning of an original sentence. Our compressing system has shown to be promising through a preliminary experiment.
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Lee, K.J., Kim, JH. (2005). Sentence Compression Learned by News Headline for Displaying in Small Device. In: Myaeng, S.H., Zhou, M., Wong, KF., Zhang, HJ. (eds) Information Retrieval Technology. AIRS 2004. Lecture Notes in Computer Science, vol 3411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31871-2_6
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DOI: https://doi.org/10.1007/978-3-540-31871-2_6
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