Commodity News contains a wealth of information such as sum-mary of the recent commodity price movement and notable events that led tothe movement. Through event extraction, useful information extracted fromcommodity news is extremely useful in mining for causal relation betweenevents and commodity price movement, which can be used for commodity priceprediction. To facilitate the future research, we introduce a new dataset withthe following information identified and annotated: (i) entities (both nomi-nal and named), (ii) events (trigger words and argument roles), (iii) eventmetadata: modality, polarity and intensity and (iv) event-event relations.
翻译：商品新闻包含大量信息,如近期商品价格变动和导致这一变动的显著事件的总和。通过事件提取,从商品新闻中提取的有用信息对采矿极为有用,有助于造成活动与商品价格变动之间的因果关系,可用于商品价格预测。为了便利未来的研究,我们引入了一套新的数据集,其中列出和附加说明的下列信息:(一) 实体(名词和名称);(二) 事件(词词和论点作用);(三) 事件元数据:模式、极地性和强度,以及(四) 事件-事件关系。
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