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Automatic evaluation metrics have been facilitating the rapid development ofautomatic summarization methods by providing instant and fair assessments ofthe quality of summaries. Most metrics have been developed for the generaldomain, especially news and meeting notes, or other language-generation tasks.However, these metrics are applied to evaluate summarization systems indifferent domains, such as biomedical question summarization. To betterunderstand whether commonly used evaluation metrics are capable of evaluatingautomatic summarization in the biomedical domain, we conduct human evaluationsof summarization quality from four different aspects of a biomedical questionsummarization task. Based on human judgments, we identify different noteworthyfeatures for current automatic metrics and summarization systems as well. Wealso release a dataset of our human annotations to aid the research ofsummarization evaluation metrics in the biomedical domain.

Revisiting Automatic Question Summarization Evaluation in the Biomedical Domain