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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Improving Neural Question Generation Using Answer Separation

February 1, 2023

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Authors

Yanghoon Kim

Seoul National University


Hwanhee Lee

Seoul National University


Joongbo Shin

Seoul National University


Kyomin Jung

Seoul National University


DOI:

10.1609/aaai.v33i01.33016602


Abstract:

Neural question generation (NQG) is the task of generating a question from a given passage with deep neural networks. Previous NQG models suffer from a problem that a significant proportion of the generated questions include words in the question target, resulting in the generation of unintended questions. In this paper, we propose answer-separated seq2seq, which better utilizes the information from both the passage and the target answer. By replacing the target answer in the original passage with a special token, our model learns to identify which interrogative word should be used. We also propose a new module termed keyword-net, which helps the model better capture the key information in the target answer and generate an appropriate question. Experimental results demonstrate that our answer separation method significantly reduces the number of improper questions which include answers. Consequently, our model significantly outperforms previous state-of-the-art NQG models.

Topics: AAAI

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HOW TO CITE:

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung Improving Neural Question Generation Using Answer Separation Proceedings of the AAAI Conference on Artificial Intelligence (2019) 6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung Improving Neural Question Generation Using Answer Separation AAAI 2019, 6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung (2019). Improving Neural Question Generation Using Answer Separation. Proceedings of the AAAI Conference on Artificial Intelligence, 6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. Improving Neural Question Generation Using Answer Separation. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. 2019. Improving Neural Question Generation Using Answer Separation. "Proceedings of the AAAI Conference on Artificial Intelligence". 6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. (2019) "Improving Neural Question Generation Using Answer Separation", Proceedings of the AAAI Conference on Artificial Intelligence, p.6602-6609

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung, "Improving Neural Question Generation Using Answer Separation", AAAI, p.6602-6609, 2019.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. "Improving Neural Question Generation Using Answer Separation". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. "Improving Neural Question Generation Using Answer Separation". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 6602-6609.

Yanghoon Kim||Hwanhee Lee||Joongbo Shin||Kyomin Jung. Improving Neural Question Generation Using Answer Separation. AAAI[Internet]. 2019[cited 2023]; 6602-6609.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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