Tree Kernel Function-based Pronoun Coreference Resolution
Guodong Zhou · Jisuanji gongcheng · 2009
This paper proposes a tree kernel-based approach to anaphora resolution of pronoun.On the basis of structured information automatically captured by convolve kernel of SVM,it integrates syntax tree as a feature with other base features.Different pruning strategies are applied to eliminate the impact of syntax trees to the results.Evaluation on the ACE2004 NWIRE benchmark corpus shows that tree kernel can improve the f performance by 11.9%.Based on the system,it combines with semantic role feature and verb-driving feature which are acquired from ASSERT.