Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
Event extraction is a particularly challenging type of information extraction (IE). Most current event extraction systems rely on local information at the phrase or sentence level...
Most approaches to event extraction focus on mentions anchored in verbs. However, many mentions of events surface as noun phrases. Detecting them can increase the recall of event ...
Cassandre Creswell, Matthew J. Beal, John Chen, Th...
The term "event extraction" covers a wide range of information extraction tasks, and methods developed and evaluated for one task may prove quite unsuitable for another....
This paper presents a fully operational real-time event extraction system which is capable of accurately and efficiently extracting violent and natural disaster events from vast a...
Martin Atkinson, Jakub Piskorski, Bruno Pouliquen,...
Automated event extraction remains a very difficult challenge requiring information analysts to manually identify key events of interest within massive, dynamic data. Many techniq...