Abstract
Automated text summarization is a process of deriving a shorter version of a text document from an original text. The most well known and widely used technique for automated text summarization is sentence extraction technique. Using this technique, sentences are extracted based on certain features that have been decided. In this paper, a new technique called sentence refinement is introduced as an improvement of the technique. In this approach, a sentence is refined; unimportant words or phrases exist in the extracted sentences are omitted. A summarization tool has been developed based on the proposed approach. The tool was tested using English and Malay texts. Extrinsic and intrinsic measurement methods have been used in evaluating generated summaries. Results show the proposed approach is promising.
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Jusoh, S., Masoud, A.M., Alfawareh, H.M. (2011). Automated Text Summarization: Sentence Refinement Approach. In: Snasel, V., Platos, J., El-Qawasmeh, E. (eds) Digital Information Processing and Communications. ICDIPC 2011. Communications in Computer and Information Science, vol 189. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22410-2_18
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DOI: https://doi.org/10.1007/978-3-642-22410-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22409-6
Online ISBN: 978-3-642-22410-2
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