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FactBank: a corpus annotated with event factuality

机译:FactBank:注有事件事实性的语料库

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Recent work in computational linguistics points out the need for systems to be sensitive to the veracity or factuality of events as mentioned in text; that is, to recognize whether events are presented as corresponding to actual situations in the world, situations that have not happened, or situations of uncertain interpretation. Event factuality is an important aspect of the representation of events in discourse, but the annotation of such information poses a representational challenge, largely because factuality is expressed through the interaction of numerous linguistic markers and constructions. Many of these markers are already encoded in existing corpora, albeit in a somewhat fragmented way. In this article, we present FactBank, a corpus annotated with information concerning the factuality of events. Its annotation has been carried out from a descriptive framework of factuality grounded on both theoretical findings and data analysis. FactBank is built on top of TimeBank, adding to it an additional level of semantic information.
机译:计算语言学的最新研究指出,系统需要对文本中提到的事件的准确性或真实性敏感。也就是说,要识别事件是否被呈现为与世界上的实际情况相对应,尚未发生的情况或不确定的解释情况。事件事实性是话语中事件表示的重要方面,但是对此类信息的注释带来了表示性挑战,这主要是因为事实性是通过众多语言标记和构造的相互作用来表达的。这些标记中有许多已经在现有语料库中进行了编码,尽管有些分散。在本文中,我们介绍FactBank,这是一个注有有关事件事实的信息的语料库。它的注释是基于基于理论发现和数据分析的事实描述框架进行的。 FactBank建立在TimeBank的基础上,向其添加了附加级别的语义信息。

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