Paper: A Metalearning Approach to Processing the Scope of Negation

ACL ID W09-1105
Title A Metalearning Approach to Processing the Scope of Negation
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2009
Authors

Finding negation signals and their scope in text is an important subtask in information ex- traction. In this paper we present a machine learning system that finds the scope of nega- tion in biomedical texts. The system combines several classifiers and works in two phases. To investigate the robustness of the approach, the system is tested on the three subcorpora of the BioScope corpus representing different text types. It achieves the best results to date for this task, with an error reduction of 32.07% compared to current state of the art results.