Conversational Question Generation in Russian

被引：0
|
作者：
Makhnytkina, Olesia [1 ]
Matveev, Anton [1 ]
Svischev, Aleksei [1 ]
Korobova, Polina [1 ]
Zubok, Dmitrii [1 ]
Mamaev, Nikita [1 ]
Tchirkovskii, Artem [1 ]
机构：
[1] ITMO Univ, St Petersburg, Russia
来源：
PROCEEDINGS OF THE 2020 27TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT) | 2020年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we discuss possibilities of automatic generation of conversational questions in Russian. We are exploring the possibility of using "A Conversational Question Answering Challenge" (CoQA) dataset translated into Russian for training an encoder-decoder model. We review several techniques for improving the quality of questions generated in the Russian language. The results are evaluated manually. Combining a neural network-based approach with a rules-based approach, we develop a system for automatic examination of university students.
引用
收藏
页码：126 / 133
页数：8
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