P. Koomen, V. Punyakanok, D. Roth, and W. Yih
30 June 2005
We present an approach to semantic role labeling (SRL) that takes the output of multiple argument classifiers and combines them into a coherent predicateargument output by solving an optimization problem. The optimization stage,which is solved via integer linear programming,takes into account both the recommendation of the classifiers and a set of problem specific constraints, and is thus used both to clean the classification results and to ensure structural integrity of the final role labeling. We illustrate a significant improvement in overall SRL performance through this inference.
In Proc. of the Annual Conference on Computational Natural Language Learning (CoNLL)
Publisher Association for Computational Linguistics
All copyrights reserved by ACL 2005