<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 F<sub>1</sub> score on a corpus consisting of 3,600 Vietnamese questions collected from the fan page of the International School, Vietnam National University, Hanoi.</p></abstract>

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.

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

Department of Computer Science, Posts and Telecommunications Institute of Technology

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Building a computer system, which can automatically answer questions in the human language, speech or text, is a long-standing goal of the Artificial...

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

Online veröffentlicht: 27. März 2020

Seitenbereich: 112 - 128

Eingereicht: 17. Dez. 2019

Akzeptiert: 25. Feb. 2020

DOI: https://doi.org/10.2478/cait-2020-0008

Schlüsselwörter
Question analysis, question answering, convolutional neural networks, bidirectional long-short term memory, conditional random fields

© 2020 Ngo Xuan Bach et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Online veröffentlicht: 27. März 2020

Seitenbereich: 112 - 128

Eingereicht: 17. Dez. 2019

Akzeptiert: 25. Feb. 2020

DOI: https://doi.org/10.2478/cait-2020-0008

SchlüsselwörterQuestion analysis, question answering, convolutional neural networks, bidirectional long-short term memory, conditional random fields

© 2020 Ngo Xuan Bach et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Question analysis, question answering, convolutional neural networks, bidirectional long-short term memory, conditional random fields