Portable Text Summarization

Author:

Hassel Martin1,Dalianis Hercules1

Affiliation:

1. Stockholm University, Sweden

Abstract

Today, with digitally stored information available in abundance, even for many minor languages, this information must by some means be filtered and extracted in order to avoid drowning in it. Automatic summarization is one such technique, where a computer summarizes a longer text to a shorter non-redundant form. The development of advanced summarization systems also for smaller languages may unfortunately prove too costly. Nevertheless, there will still be a need for summarization tools for these languages in order to curb the immense flow of digital information. This chapter sets the focus on automatic summarization of text using as few direct human resources as possible, resulting in what can be perceived as an intermediary system. Furthermore, it presents the notion of taking a holistic view of the generation of summaries.

Publisher

IGI Global

Reference35 articles.

1. Bacchin, M., Ferro, N., & Melucci, M. (2002). The effectiveness of a graph-based algorithm for stemming. In Proceedings of the 5th International Conference on Asian Digital Libraries (pp. 117–128). London, UK: Springer-Verlag.

2. Dalianis, H. (2000). SweSum - A text summarizer for Swedish. Technical report TRITA-NA-P0015, IPLab-174, NADA, KTH, October 2000.

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