Editing Automatic summarization (section)

====Maximum entropy-based summarization====
During the DUC 2001 and 2002 evaluation workshops, [[Netherlands Organisation for Applied Scientific Research|TNO]] developed a sentence extraction system for multi-document summarization in the news domain. The system was based on a hybrid system using a [[Naive Bayes classifier]] and statistical language models for modeling salience. Although the system exhibited good results, the researchers wanted to explore the effectiveness of a [[maximum entropy classifier|maximum entropy]] (ME) classifier for the meeting summarization task, as ME is known to be robust against feature dependencies. Maximum entropy has also been applied successfully for summarization in the broadcast news domain.