Recognition and Classification of Relation Words in the Compound Sentences Based on Tsinghua Chinese Treebank
LI Yancu · Beijing Daxue Xuebao. Zirankexueban · 2014
According to Tsinghua Chinese Treebank annotation methods, the authors extracted relation words and marked their categories. Then syntax, lexical and position features of automatic syntax tree with and without functional marker were extracted to recognize and classify relation words. Experiment results show that relative recognition accuracy is 95.7%, and relation words classification F1 is 77.2%.