1999 · 210 citations · 14 references
ComputingComputer ScienceInformation RetrievalNatural Language ProcessingText AnalyticsCorpus AnalysisData SummarizationRelevance FeedbackRelevance RankingText SummarizationAccuracyAutomatic Summarization EvaluationDocument SummarizationHuman Evaluation Of SummariesInformative SummarizationRelevance AssessmentSummarization EvaluationSummarization Quality Evaluation
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.
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New Methods in Automatic Extracting
H. P. Edmundson · Journal of the ACM · 1969 · 1.5K citations
A trainable document summarizer
Julian Kupiec, Jan Pedersen, Francine Chen · 1995 · 1.3K citations · Full text
Automatic text structuring and summarization
Gerard Salton, Amit Singhal, Mandar Mitra et al. · Information Processing & Management · 1997 · 498 citations · Full text