Semantic role labelling with similarity-based generalization using EM-based clustering

Ulrike Baldewein, Katrin Erk, Sebastian Padó, Detlef Prescher
2004 International Workshop on Semantic Evaluation  
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 is Precision=73.6%, Recall=59.4% (F=65.7).
dblp:conf/semeval/BaldeweinEPP04 fatcat:7t4pjk7dqvgf7lm5gmmrqix5ka