Eojeol Syntactic Tag Prediction of Korean Text using Entropy Guided CRF
Jinyoung Oh, Jeong-Won Cha · 2009
In this work, we describe the syntactic tag prediction system for Korean using the decision tree and CRFs. Generally they select features by their intuition. It depends on their prior knowledge. In this works, we combine features systematically using the decision tree. We also analyze errors and optimize features for the best performance. From the result of experiments, we can see that the proposed method is effective for the syntactic tag estimation and will be helpful for the syntactic analysis.