Multilingual Mention Detection for Coreference Resolution
Olga Uryupina, Alessandro Moschitti · 2013
This paper proposes a novel algorithm for multilingual mention detection: we ex-tract mentions from parse trees via kernel-based SVM learning. Our approach al-lows for straightforward mention detection for any language where (not necessary per-fect) parsing resources are available, with-out any complex language-specific rule engineering. We also investigate possi-bilities for incorporating automatically ac-quired mentions into an end-to-end coref-erence resolution system. We evaluate our approach on the Arabic and Chinese por-tions of the CoNLL-2012 dataset, showing a significant improvement over the system with the baseline mention detection. 1