Machine Learning for Mention Head Detection in Multilingual Coreference Resolution
Desislava Zhekova, Sandra Kübler · Recent Advances in Natural Language Processing · 2013
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.