Automatic summarization of Polish news articles by sentence selection

This paper describes the automatic summarization system developed for the Polish language. The system implements sentence-based extractive summarization technique, which consists in determining most important sentences in document due to their computed salience. A structure of the system is presented, as well as the evaluation method and achieved results. The presented attempt is intended to serve as the baseline for future solutions, as it is the first summarization project evaluated against the Polish Summaries Corpus, the standardized corpus of summaries for the Polish language.