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

• Autorzy: Dudczak A. , Stefanowski J. , Weiss D.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

extractive text summarization; lexical chains; term-weighting techniques

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Foundations of Computing and Decision Sciences
• Rocznik: 2010
• Tom: Vol. 35, No. 1
• Strony: 27--41
• Opis fizyczny: Bibliogr 21 poz.

Twórcy

autor

Dudczak A.

autor

Stefanowski J.

autor

Weiss D.

• Poznan Supercomputing and Networking Center, ul. Noskowskiego 10, 61-704 Poznań, Poland

Bibliografia

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