Paper: Cut And Paste Based Text Summarization

ACL ID A00-2024
Title Cut And Paste Based Text Summarization
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2000
Authors

We present a cut and paste based text summa- rizer, which uses operations derived from an anal- ysis of human written abstracts. The summarizer edits extracted sentences, using reduction to remove inessential phrases and combination to merge re- suiting phrases together as coherent sentences. Our work includes a statistically based sentence decom- position program that identifies where the phrases of a summary originate in the original document, pro- ducing an aligned corpus of summaries and articles which we used to develop the summarizer.