Abstract
Although online health expert QA services can provide high quality information for health consumers, there is no Chinese question answering system built on knowledge from existing expert answers, leading to duplicated efforts of medical experts and reduced efficiency. To address this issue, we develop a Chinese QA system for smart health (HealthQA), which provides timely, automatic and valuable QA service. Our HealthQA collects diabetes expert question answer data from three major QA websites in China. We develop a hierarchical clustering method to group similar questions and answers, an extended similarity evaluation algorithm for retrieving relevant answers and a ranking based summarization for representing the answer. ROUGE and manual tests show that our system significantly outperforms the search engine. © 2014 Springer International Publishing.
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CITATION STYLE
Yin, Y., Zhang, Y., Liu, X., Zhang, Y., Xing, C., & Chen, H. (2014). HealthQA: A Chinese QA summary system for smart health. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8549 LNCS, pp. 51–62). Springer Verlag. https://doi.org/10.1007/978-3-319-08416-9_6
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