Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, with the increase of available digital information on the Web, the time needed to find relevant information is also increased. Therefore, to reduce the time spent on searching, research on automatic text summarization has gained importance. The proposed summarization process is based on event extraction methods and is called an event-based extractive single-document summarization. In this method, the important features of event extraction and summarization methods are analyzed and combined together to extract the summaries from single-source news documents. Among the tested features, six features are found to be the most effective in constructing good summaries. The constructed summaries are tested on benchmark Document Understanding Conferences 2001 and 2002 datasets, and the results outperformed most of the other well-known summarization methods.
Event-based summarization, event extraction, feature selection, single-text summarization, extractive summarization
TABAK, FERİDE SAVAROĞLU and EVRİM, VESİLE
"Event-based summarization of news articles,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 28:
2, Article 18.
Available at: https://journals.tubitak.gov.tr/elektrik/vol28/iss2/18
Computer Engineering Commons, Computer Sciences Commons, Electrical and Computer Engineering Commons