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Opinion Target Extraction in Chinese News Comments

机译:中文新闻评论中的舆论目标提取

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摘要

News Comments on the web express readers’ attitudes or opinions about an event or object in the corresponding news article. And opinion target extrac-tion from news comments is very impor-tant for many useful Web applications. However, many sentences in the com-ments are irregular and informal, and sometimes the opinion targets are impli-cit. Thus the task is very challenging and it has not been investigated yet. In this paper, we propose a new approach to un-iformly extracting explicit and implicit opinion targets from news comments by using Centering Theory. The approach uses global information in news articles as well as contextual information in ad-jacent sentences of comments. Our expe-rimental results verify the effectiveness of the proposed approach.
机译:网络上的新闻评论在相应的新闻文章中表达读者对事件或对象的态度或看法。对于许多有用的Web应用程序而言,从新闻评论中提取观点目标非常重要。但是,评论中的许多句子都是不规则和非正式的,有时意见目标是隐含的。因此,该任务非常具有挑战性,尚未进行调查。在本文中,我们提出了一种新的方法,即使用中心理论从新闻评论中不正确地提取显式和隐式的舆论目标。该方法在新闻文章中使用全局信息,在评论的相邻句子中使用上下文信息。我们的实验结果验证了该方法的有效性。

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