The TIPSTER SUMMAC Text Summarization Evaluation

Inderjeet Mani, David House, Gary Klein, Lynette Hirschman, Thérèse Firmin, Beth Sundheim

1999 · 210 citations · 14 references

DOIFull text

Open access

Concepts

Abstract

The TIPSTER Text Summarization Evaluation (SUMMAC) has established definitively that automatic text summarization is very effective in relevance assessment 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 introduced a new intrinsic method for automated evaluation of informative summaries.

References

14