关键词: 汉语动词, 次范畴化, 弱指导, SVM

Abstract: Procedure of subcategorization acquisition mainly includes two typical steps: 1. Subcategorization hypotheses are generated according to certain heuristic rules; 2. Hypotheses are filtered via statistical methods and reliable subcategorization types are selected. Previous efforts to improve the acquisition performance are focused on statistical filtering, and there is no supervised training for the generation of hypotheses in relevant experiments. Therefore, all these methods are unsupervised. This paper proposes a weakly supervised method for Chinese subcategorization acquisition, where the unsupervised hypothesis generator is replaced with an SVM classifier. Results of experiments indicate statistically significant improvement in the general acquisition performance.

Key words: Chinese verbs, subcategorization, weakly supervised, SVM