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Semantic Role Labelling With Similarity-Based Generalisation Using EM-based Clustering

, , , and . Proceedings of SENSEVAL 3, Barcelona, Spain, (2004)

Abstract

We describe a system for semantic role assignment built as part of the Senseval III task, based on an off-the-shelf parser and Maxent and Memory-Based learners. We focus on generalisation using several similarity measures to increase the amount of training data available and on the use of EM-based clustering to improve role assignment. Our final score yields Precision=73.6\%, Recall=59.4\% (F=65.7).

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