Cut and Paste Based Text Summarization

We present a cut and paste based text summarizer, which uses operations derived from an analhuman written abstracts. The summarizer edits extracted sentences, using reduction to remove inessential phrases and combination to merge resuiting phrases together as coherent sentences. Our work includes a statistically based sentence decomposition program that identifies where the phrases of a summary originate in the original document, producing an aligned corpus of summaries and articles which we used to develop the summarizer.

• Type: Conference
• Year: 2000
• Where: ANLP
• Authors: Hongyan Jing, Kathleen McKeown
• Keywords: Analhuman Written Abstracts, ANLP 2000, Extracted Sentences, Text Summarizer