Evaluation of Sentence-Selection Text Summarization Methods on Polish News Articles

摘要

This paper presents the goals, results and conclusions from an experiment in which several shallow text summarization methods have been applied to news articles written in Polish. Specifically, we focused on various techniques of salient sentence selection, as these algorithms are most popular in the English-speaking world and are computationally efficient. The quality of automatically generated summaries was evaluated by comparing them against a reference set of man-made summaries. This reference set of summaries is a valuable resource on its own, as it comes from a survey where user groups from different backgrounds had been asked to select "the most appropriate" set of sentences to form a generic, informative summary.