Silvia Julinda, Christoph Boden, and Alan Akbik
Extracting a Repository of Events and Event References from News Clusters
Information Discovery workshop at COLING 2014
Abstract:
In this paper, we prose to build a repository of events and event references from clusters of news articles. We present an automated approach that is based on the hypothesis that if two sentences are a found in the same cluster of news articles and b contain temporal expressions that reference the same point in time, they are likely to refer to the same event.
This allows us to group similar sentences together and apply open-domain Information Extraction (OpenIE) methods to extract lists of textual references for each detected event. We outline our proposed approach and present a preliminary evaluation in which we extract events and references from 20 clusters of online news.
Our experiments indicate that for the largest part our hypothesis holds true, pointing to a strong potential for applying our approach to building an event repository. We illustrate cases in which our hypothesis fails and discuss ways for addressing sources or errors.
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