A trainable document summarizer
Julian M. Kupiec, Jan Ole Pedersen, Francine Chen · 1995
To summarize is to reduce in complexity, and hence in length, while retaining some of the essential qualities of the original.This paper focusses on document extracts, a particular kind of computed document summary.Document extracts consisting of roughly 20% of the original cart be as informative as the full text of a document, which suggests that even shorter extracts may be useful indicative summmies.The trends in our results are in agreement with those of Ed- mundson who used a subjectively weighted combination of features as opposed to training the feature weights using a corpus.We have developed a trainable summarization program that is grounded in a sound statistical framework.