Incremental summarization using taxonomy

In this paper, a new summarization system is proposed, which summarizes a document by interactively scoring the sentences using already-extracted summary so that the sentence which contains the most amount of relevant information to the summary to be extracted. To calculate the amount of relevant information contained by a sentence, the system makes heavy use of already existing taxonomies. The experiment shows a result pretty close to the current state-of-the-art systems. Categories and Subject Descriptors I.2.6 Knowledge Acquisition General Terms Algorithms Keywords Summarization, Taxonomy

• Type: Conference
• Year: 2009
• Where: KCAP
• Authors: DongHyun Choi, Key-Sun Choi
• Keywords: Algorithms Keywords Summarization, Descriptors I.2.6 Knowledge, Information Retrieval, KCAP 2009, Relevant Information