UABCoRAL: A Preliminary study for Resolving the Scope of Negation

This paper describes our participation in the closed track of the *SEM 2012 Shared Task of finding the scope of negation. To perform the task, we propose a system that has three components: negation cue detection, scope of negation detection, and negated event detection. In the first phase, the system creates a lexicon of negation signals from the training data and uses the lexicon to identify the negation cues. Then, it applies machine learning approaches to detect the scope and negated event for each negation cue identified in the first phase. Using a preliminary approach, our system achieves a reasonably good accuracy in identifying the scope of negation.