Paper: Parsing Arguments Of Nominalizations In English And Chinese

ACL ID N04-4036
Title Parsing Arguments Of Nominalizations In English And Chinese
Venue Human Language Technologies
Session Short Paper
Year 2004
Authors

In this paper, we use a machine learning frame- work for semantic argument parsing, and apply it to the task of parsing arguments of eventive nominalizations in the FrameNet database. We create a baseline system using a subset of fea- tures introduced by Gildea and Jurafsky (2002), which are directly applicable to nominal pred- icates. We then investigate new features which are designed to capture the novelties in nom- inal argument structure and show a significant performance improvement using these new fea- tures. We also investigate the parsing perfor- mance of nominalizations in Chinese and com- pare the salience of the features for the two lan- guages.