Dependency parsing has attracted many natural language processing research groups in recent years. Dependency syntax is a form of sentence representation which has many applications in problems such as question answering system, information extraction, text summarization, machine translation . Currently, there are many approaches for dependency parsing and they have achieved high accuracy for different languages. For Vietnamese, our research group has used Skip-gram and GloVe model to produce distributed word representations. Then we used this feature in transition-based dependency parsing system. In this paper, we propose to use distributed word representations in graph-based dependency parsing system with MSTParser. |