Semantic role labeling with Boosting, SVMs, Maximum Entropy, SNOW, and Decision Lists
نویسندگان
چکیده
This paper describes the HKPolyU-HKUST systems which were entered into the Semantic Role Labeling task in Senseval-3. Results show that these systems, which are based upon common machine learning algorithms, all manage to achieve good performances on the non-restricted Semantic Role Labeling task.
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تاریخ انتشار 2004