2014 · 10 citations · 11 references
ComputingComputer ScienceHealth InformaticsInformation RetrievalNatural Language ProcessingText AnalyticsClinical Natural Language ProcessingData SummarizationPerformance EvaluationText GenerationText SummarizationAutomatic Summarization EvaluationClinical Text SummarizationEvaluation MetricsSummarizationSummarization EvaluationSummarization Of Clinical TextsSummarization Quality EvaluationSummarization Systems
Abstract. Proper evaluation is crucial for developing high-quality com-puterized text summarization systems. In the clinical domain, the spe-cialized information needs of the clinicians complicates the task of eval-uating automatically produced clinical text summaries. In this paper we present and compare the results from both manual and automatic evalu-ation of computer-generated summaries. These are composed of sentence extracts from the free text in clinical daily notes – corresponding to indi-vidual care episodes, written by physicians concerning patient care. The purpose of this study is primarily to find out if there is a correlation between the conducted automatic evaluation and the manual evalua-tion. We analyze which of the automatic evaluation metrics correlates the most with the scores from the manual evaluation. The manual eval-uation is performed by domain experts who follow an evaluation tool that we developed as a part of this study. As a result, we hope to get some insight into the reliability of the selected approach to automatic
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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin · 2004 · 8.3K citations
Constraint grammar as a framework for parsing running text
Fred Karlsson · 1990 · 207 citations · Full text