Semantic Role Labeling via Generalized Inference over Classifiers

We present a system submitted to the CoNLL-2004 shared task for semantic role labeling. The system is composed of a set of classifiers and an inference procedure used both to clean the classification results and to ensure structural integrity of the final role labeling. Linguistic information is used to generate features during classification and constraints for the inference process.

PunyakanokRoYiZiTu-conll04st.pdf
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In  Proceedings of the 8th Conference on Computational Natural Language Learning (CoNLL-04)

Publisher  Association for Computational Linguistics
All copyrights reserved by ACL 2004

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TypeInproceedings
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