Semantic Role Labeling via Integer Linear Programming Inference

We present a system for the semantic role labeling task. The system combines a machine learning technique with an inference procedure based on integer linear programming that supports the incorporation of linguistic and structural constraints into the decision process. The system is tested on the data provided in the CoNLL-2004 shared task on semantic role labeling and achieves very competitive results.

PunyakanokRoYiZi-coling04.pdf
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In  Proceedings of the 20th International Conference on Computational Linguistics (COLING-04)

Publisher  International Conference on Computational Linguistics
Copyright COLING 2004

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TypeInproceedings
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