Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Summarization beyond sentence extraction: a probabilistic approach to sentence compression
Artificial Intelligence
Fractal summarization: summarization based on fractal theory
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
Restricted representation of phrase structure grammar for building a tree annotated corpus of Korean
Natural Language Engineering
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Toward the "at-a-glance" summary: phrase-representation summarization method
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Improving summarization performance by sentence compression: a pilot study
AsianIR '03 Proceedings of the sixth international workshop on Information retrieval with Asian languages - Volume 11
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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.