Automatic Entity Relation Extraction
Che Wan · Zhongwen xinxi xuebao · 2005
Entity Relation Extraction is an important research field in Information Extraction. Two kinds of machine learning algorithms, Winnow and Support Vector Machine (SVM), were used to extract entity relation from the training data of ACE (Automatic Content Extraction) Evaluation 2004 automatically. Both of the algorithms need appropriate feature selection. When two words around an entity were selected, the performance of the both algorithms got the peak. The average weighted F Score of Winnow and SVM algorithms were 73 08% and 73 27% respectively. We can conclude that when the same feature set is used, the performance of different machine learning algorithms get little difference. So we should pay more attention to find better features when we use the automatic learning methods to extract the entity relation.