Automatic extractive summarization on Indonesian parliamentary meeting minutes

Meeting minutes contain many important decisions and fact from a meeting. Since meeting minutes are unstructured document, summarization should be conducted in order to easily get the main information. Some works in this research area have been done for meeting minutes in English, but have not conducted yet in Indonesian. Therefore, this paper aims to develop extractive summarization system on Indonesian parliamentary meeting minutes using rule-based information extraction with regular expression. Summary structure is defined based on summaries from the House of Representatives of the Republic of Indonesia. Regular expressions are designed to recognize patterns in meeting minutes and then to fill 24 slot values in summary templates. Our summarizer consists of four main processes i.e.: preprocessing, information extraction, postprocess, and template filling. Our experimental results evaluated by the ROUGE summarization metrics achieves performance in terms of ROUGE-2 F-measure of 0.718.

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