Paper: The TIPSTER SUMMAC Text Summarization Evaluation

ACL ID E99-1011
Title The TIPSTER SUMMAC Text Summarization Evaluation
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 1999
Authors

The TIPSTER Text Summarization Evaluation (SUMMAC) has established definitively that automatic text summa- rization is very effective in relevance as- sessment tasks. Summaries as short as 17% of full text length sped up decision- making by almost a factor of 2 with no statistically significant degradation in F- score accuracy. SUMMAC has also in- troduced a new intrinsic method for au- tomated evaluation of informative sum- maries.