Machine Learning for Mention Head Detection in Multilingual Coreference Resolution
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چکیده
This work introduces a machine learning approach to the identification of mention heads needed for multilingual coreference resolution (MCR). We evaluate the method and compare it to a heuristic baseline and a rule-based approach, which are widely used in coreference resolution systems. We use the CoNLL-2012 shared task data sets, which include data for Arabic, Chinese, and English. We show that for MCR, machine learning offers a competitive, flexible, and robust solution for mention head detection.
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تاریخ انتشار 2013