Feature engineering for predicate identification and classification in semantic analysis
Guodong Zhou · Computer Engineering and Applications Journal · 2010
Predicate is the most important component in a sentence,which greatly influences the identification of the semantic analysis.The performance of predicate identification and classification relies on lots of features,but how to combine those features is more important.This paper picks out 7 basic features and over 30 new features with different combinations.By adding useful combinations of the features into the baseline system with the maximum entropy classifier,it improves by 5% of F1-score(from 84.7% up to 89.8%)on predicate identification and also gains about 2% increase of F1-score(from 80.3% up to 82.1%)on predicate classification.It shows that those new features and the combination of them can much improve the performance of the system.