Comparable Study of Event Extraction in Newswire and Biomedical Domains
Comparable Study of Event Extraction in Newswire and Biomedical Domains
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发表时间：
2014-08
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通讯作者：
Makoto Miwa;Paul Thompson;Ioannis Korkontzelos;S. Ananiadou
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作者：
Makoto Miwa;Paul Thompson;Ioannis Korkontzelos;S. Ananiadou
事件提取是自然语言处理领域的一个热门研究课题。已经为新闻专线和生物医学领域定义了几个事件提取任务。一般来说，尽管这两个领域中的任务具有许多共同的特征，但还是为这两个领域开发了不同的系统。在本文中，我们分析了这两个领域中任务的共同点和区别。基于此分析，我们演示了最初为生物医学领域设计的事件提取方法如何适用于新闻专线领域。这两个领域的表现都是最先进的，就其主要评估指标而言，生物医学领域的f得分为52.7%，新闻通讯社领域的f得分为52.1%。
Event extraction is a popular research topic in natural language processing. Several event extraction tasks have been defined for both the newswire and biomedical domains. In general, different systems have been developed for the two domains, despite the fact that the tasks in both domains share a number of characteristics. In this paper, we analyse the commonalities and differences between the tasks in the two domains. Based on this analysis, we demonstrate how an event extraction method originally designed for the biomedical domain can be adapted for application to the newswire domain. The performance is state-of-the-art for both domains, with F-scores of 52.7% for the biomedical domain and 52.1% for the newswire domain in terms of their primary evaluation metrics.