TY - JOUR AU - Phuong, Le Hong AU - Hoang, Pham Thai AU - Khoai, Pham Xuan AU - Huyen, Nguyen Thi Minh AU - Luong, Nguyen Thi AU - Hiep, Nguyen Minh PY - 2017/11/21 TI - Vietnamese Semantic Role Labelling JF - VNU Journal of Science: Computer Science and Communication Engineering; Vol 33 No 2 (2017)DO - 10.25073/2588-1086/vnucsce.166 KW - N2 - In this paper, we study semantic role labelling (SRL), a subtask of semantic parsing of natural language sentences and its application for the Vietnamese language. We present our effort in building Vietnamese PropBank, a first Vietnamese SRL corpus and a software system for labelling semantic roles of Vietnamese texts. In particular, we present a novel constituent extraction algorithm in the argument candidate identification step which is more suitable and more accurate than a common node-mapping method. In the learning machine part, our system integrates distributed word features produced by two recent unsupervised learning models in two learned statistical classifiers and makes use of integer linear programming inference procedure to improve the accuracy. The system is evaluated in a series of experiments and achieves a good result, an $F_1$ score of 74.77\%. Our system, including corpus and software, is available as an open source project for free research and we believe that it is a good baseline for the development of future Vietnamese SRL systems. UR - //jcsce.vnu.edu.vn/index.php/jcsce/article/view/166