The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading

Yong Ting Feng; Chen Chung Liu; Chia Hui Chang

doi:10.1109/ICALT58122.2023.00079

The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading

Yong Ting Feng, Chen Chung Liu, Chia Hui Chang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This study explored the applications of natural language processing techniques on the analysis of storybook to design the storytelling chatbots. Two natural language processing techniques, co-reference and dependency parsing techniques, were applied to process the text of 157 stories books as a means to implement in the invite-narration, positive recognition, follow-up strategies when the chatbot retells the story with the students. The results of the study found that 19 (42%) students demonstrated full narratives which can re-tell the overall story in the storybook, while 22 (49%) students could only retell a simplified story. Affordances and limitations of the use of the two techniques in developing chatbots for reading are discussed.

Original language	English
Title of host publication	Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023
Editors	Maiga Chang, Nian-Shing Chen, Rita Kuo, George Rudolph, Demetrios G Sampson, Ahmed Tlili
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	250-251
Number of pages	2
ISBN (Electronic)	9798350300543
DOIs	https://doi.org/10.1109/ICALT58122.2023.00079
State	Published - 2023
Event	23rd IEEE International Conference on Advanced Learning Technologies, ICALT 2023 - Hybrid, Orem, United States Duration: 10 Jul 2023 → 13 Jul 2023

Publication series

Name	Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023

Conference

Conference	23rd IEEE International Conference on Advanced Learning Technologies, ICALT 2023
Country/Territory	United States
City	Hybrid, Orem
Period	10/07/23 → 13/07/23

Keywords

chatbot
natural language processing
reading
storytelling

Access to Document

10.1109/ICALT58122.2023.00079

基於興趣啟發理論的悅趣閱讀：人工智慧聊書機器人開發與成效評估(2/3)
Liu, C.-C. (PI)
1/08/22 → 31/07/23
Project: Research

Cite this

Feng, Y. T., Liu, C. C., & Chang, C. H. (2023). The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading. In M. Chang, N.-S. Chen, R. Kuo, G. Rudolph, D. G. Sampson, & A. Tlili (Eds.), Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023 (pp. 250-251). (Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICALT58122.2023.00079

Feng, Yong Ting ; Liu, Chen Chung ; Chang, Chia Hui. / The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading. Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023. editor / Maiga Chang ; Nian-Shing Chen ; Rita Kuo ; George Rudolph ; Demetrios G Sampson ; Ahmed Tlili. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 250-251 (Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023).

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abstract = "This study explored the applications of natural language processing techniques on the analysis of storybook to design the storytelling chatbots. Two natural language processing techniques, co-reference and dependency parsing techniques, were applied to process the text of 157 stories books as a means to implement in the invite-narration, positive recognition, follow-up strategies when the chatbot retells the story with the students. The results of the study found that 19 (42%) students demonstrated full narratives which can re-tell the overall story in the storybook, while 22 (49%) students could only retell a simplified story. Affordances and limitations of the use of the two techniques in developing chatbots for reading are discussed.",

keywords = "chatbot, natural language processing, reading, storytelling",

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Feng, YT, Liu, CC & Chang, CH 2023, The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading. in M Chang, N-S Chen, R Kuo, G Rudolph, DG Sampson & A Tlili (eds), Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023. Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023, Institute of Electrical and Electronics Engineers Inc., pp. 250-251, 23rd IEEE International Conference on Advanced Learning Technologies, ICALT 2023, Hybrid, Orem, United States, 10/07/23. https://doi.org/10.1109/ICALT58122.2023.00079

The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading. / Feng, Yong Ting; Liu, Chen Chung ; Chang, Chia Hui.
Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023. ed. / Maiga Chang; Nian-Shing Chen; Rita Kuo; George Rudolph; Demetrios G Sampson; Ahmed Tlili. Institute of Electrical and Electronics Engineers Inc., 2023. p. 250-251 (Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Chen Chung

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N2 - This study explored the applications of natural language processing techniques on the analysis of storybook to design the storytelling chatbots. Two natural language processing techniques, co-reference and dependency parsing techniques, were applied to process the text of 157 stories books as a means to implement in the invite-narration, positive recognition, follow-up strategies when the chatbot retells the story with the students. The results of the study found that 19 (42%) students demonstrated full narratives which can re-tell the overall story in the storybook, while 22 (49%) students could only retell a simplified story. Affordances and limitations of the use of the two techniques in developing chatbots for reading are discussed.

AB - This study explored the applications of natural language processing techniques on the analysis of storybook to design the storytelling chatbots. Two natural language processing techniques, co-reference and dependency parsing techniques, were applied to process the text of 157 stories books as a means to implement in the invite-narration, positive recognition, follow-up strategies when the chatbot retells the story with the students. The results of the study found that 19 (42%) students demonstrated full narratives which can re-tell the overall story in the storybook, while 22 (49%) students could only retell a simplified story. Affordances and limitations of the use of the two techniques in developing chatbots for reading are discussed.

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Feng YT, Liu CC , Chang CH. The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading. In Chang M, Chen NS, Kuo R, Rudolph G, Sampson DG, Tlili A, editors, Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 250-251. (Proceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023). doi: 10.1109/ICALT58122.2023.00079

The Design and Analysis of a Storytelling Chatbot with Natural Language Processing Techniques for Enhancing EFL Reading

Abstract

Publication series

Conference

Keywords

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Projects

基於興趣啟發理論的悅趣閱讀：人工智慧聊書機器人開發與成效評估(2/3)

Cite this