Identifying Relevant Temporal Expressions for Real-World Events

  title={Identifying Relevant Temporal Expressions for Real-World Events},
  author={Nattiya Kanhabua and Sara Romano},
Event detection is an interesting task for many applications, for instance: surveillance, scientific discovery, and Topic Detection and Tracking. Numerous works have focused on detecting events from unstructured text and determining what features constitutes an event, e.g., key terms or named entities. Although most works are able to find interesting time associated to an event, there is a lack in research on determining the relevance of time for an event. In this paper, we propose a method for… CONTINUE READING
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