The Acquisition of Chinese Verb's Subcategorization Frame Types Based on Linguistic Theory and Statistical Algorithm
Zhifang Sui · Zhongwen xinxi xuebao · 2007
Subcategorization of verbs is an essential issue and plays an important role in syntactic parsing,semantic roles labeling and etc.A sufficient subcategorization frame type set is critical for subcategorization acquisition.By now,a set of subcategorization frame types has come to an agreement in English,while no standard subcategorization frame type set for Chinese verbs has been achieved.In this paper we apply a semi-supervise method for subcategorization frame type acquisition with linguistic theory and statistical algorithm.Firstly we create a set of seeds of subcategorization patterns according to linguistics theory.And then a semi-supervise machine learning method is applied to analyze the corpus for extending the seeds.Contrasted with a corpus based subcategorization frame type acquisition mehtod,our method gains better precision and coverage.