Building an efficient functional-tag labeling system for Vietnamese

• المؤلفون الرئيسيون: Nguyen, Thanh Huy, Nguyen, Kim Anh, Nguyen, Phuong Thai
• مؤلفون آخرون: The Proceedings - 2011 3rd International Conference on Knowledge and Systems Engineering, KSE 2011
• التنسيق: Conference paper
• اللغة: English
• منشور في: IEEE 2019
• الموضوعات: Natural language processing; Functional tag; Word cluster; Maximum entropy model.
• الوصول للمادة أونلاين: http://repository.vnu.edu.vn/handle/VNU_123/64120

Functional tags represent the role of syntactic constituents such as noun phrases and verb phrases in a tree. Functional-tag labeling has been studied for languages such as English and Chinese. In this paper, we present a new system for tagging Vietnamese sentences functionally. We used maximum entropy model for this task with six tree-based features. Besides, a new feature based on word cluster has also been made use of. Our experiments on Vietnamese tree bank showed that the system achieved a good performance and the word cluster feature brought a significant improvement