Question Analysis towards a Vietnamese Question Answering System in the Education Domain

Cybernetics and Information Technologies

卷:20

Thanh Phan Duc¹  Bach Ngo Xuan¹  Oanh Tran Thi² 

[1] Department of Computer Science, Posts and Telecommunications Institute of Technology, Hanoi, Vietnam;

[2] VNU International School, Vietnam National University, Hanoi, Vietnam;

关键词: question analysis;    question answering;    convolutional neural networks;    bidirectional long-short term memory;    conditional random fields;   

DOI  :  10.2478/cait-2020-0008

来源: DOAJ

【 摘 要 】

Building a computer system, which can automatically answer questions in the human language, speech or text, is a long-standing goal of the Artificial Intelligence (AI) field. Question analysis, the task of extracting important information from the input question, is the first and crucial step towards a question answering system. In this paper, we focus on the task of Vietnamese question analysis in the education domain. Our goal is to extract important information expressed by named entities in an input question, such as university names, campus names, major names, and teacher names. We present several extraction models that utilize the advantages of both traditional statistical methods with handcrafted features and more recent advanced deep neural networks with automatically learned features. Our best model achieves 88.11% in the F1 score on a corpus consisting of 3,600 Vietnamese questions collected from the fan page of the International School, Vietnam National University, Hanoi.

【 授权许可】

Unknown