Abstract
In this paper we propose a summarization method for scientific articles from the viewpoint of the syntactic sequences. The objective is to generate an extractive summary by ranking sentences according to their informative content, on the basis of the idea that the writing styles of authors create syntactic patterns which may contain important information about topics explained in a research paper. We use two main document features in our summarizing algorithm: syntactic sequences and frequent terms per section. We present an evaluation of our proposed algorithm by comparing it with existing summarization methods.
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Villavicencio, P., Watanabe, T. (2011). Text Summarization of Single Documents Based on Syntactic Sequences. In: Tsihrintzis, G.A., Virvou, M., Jain, L.C., Howlett, R.J. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22158-3_31
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DOI: https://doi.org/10.1007/978-3-642-22158-3_31
Publisher Name: Springer, Berlin, Heidelberg
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