Abstract
We propose a new method of summarizing newspaper articles that extracts using a case-frame dictionary, important words and phrases from original articles and generates a summary by reconstructing those extracted words and phrases. The number of sentences in the generated summary can be controlled by users from one to a few sentences. We have also developed the prototype summarization system ALTLINE and evaluate the system by comparing generated summaries to human-produced summaries. This evaluation result shows that the ALTLINE was ranked near middle among all the human subjects, proving that the system summaries obtained comparable to human summaries.
