A Parser-based Approach to Detecting Modification of Biomedical Events
This work describes a system for identifying event mentions in bio-molecular text that are either speculative (e.g. "analysis of IkappaBalpha phosphorylation", where it is not specified whether phosphorylation did or did not occur) or negated (e.g. "inhibition of IkappaBalpha phosphorylation", where phosphorylation did not occur). Our system combines a simple bag-of-words system with two grammar-based approaches, namely the English Resource Grammar and RASP parser. We interpret the output of the respective parsers via MRS semantics, and feed them into a machine learner. Our results indicate that grammar-based techniques can enhance the accuracy of event extraction methods.