Document (#15821)

Author

Robin, J.
McKeown, K.

Title

Empirically designing and evaluating a new revision-based model for summary generation

Source

Artificial intelligence. 85(1996) nos.1/2, S.135-179

Year

1996

Abstract

Presents a system for summarizing quantitative data in natural language, focusing on the use of a corpus of basketball game summaries, drawn from online news services, to empirically shape the system design and to evaluate the approach. Initial corpus analysis revealed characteristics of textual summaries that challenge the capabilities of current language generation systems. A revision based corpus analysis was used to identify and encode the revision rules of the system. Presents a quantitative evaluation, using several test corpora, to measure the robustness of the new revision based model

Theme

Automatisches Abstracting

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