@inproceedings{lee-etal-2023-peep,
title = "{PEEP}-Talk: A Situational Dialogue-based Chatbot for {E}nglish Education",
author = "Lee, Seungjun and
Jang, Yoonna and
Park, Chanjun and
Lee, Jungseob and
Seo, Jaehyung and
Moon, Hyeonseok and
Eo, Sugyeong and
Lee, Seounghoon and
Yahya, Bernardo and
Lim, Heuiseok",
editor = "Bollegala, Danushka and
Huang, Ruihong and
Ritter, Alan",
booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.acl-demo.18",
doi = "10.18653/v1/2023.acl-demo.18",
pages = "190--207",
abstract = "English is acknowledged worldwide as a mode of communication. However, due to the absence of realistic practicing scenarios, students learning English as a foreign language (EFL) typically have limited chances to converse and share feedback with others. In this paper, we propose PEEP-Talk, a real-world situational dialogue-based chatbot designed for English education. It also naturally switches to a new topic or situation in response to out-of-topic utterances, which are common among English beginners. Furthermore, PEEP-Talk provides feedback score on conversation and grammar error correction. We performed automatic and user evaluations to validate performance and education efficiency of our system. The results show that PEEP-Talk generates appropriate responses in various real-life situations while providing accurate feedback to learners. Moreover, we demonstrate a positive impact on English-speaking, grammar, and English learning anxiety, implying that PEEP-Talk can lower the barrier to learning natural conversation in effective ways.",
}
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<abstract>English is acknowledged worldwide as a mode of communication. However, due to the absence of realistic practicing scenarios, students learning English as a foreign language (EFL) typically have limited chances to converse and share feedback with others. In this paper, we propose PEEP-Talk, a real-world situational dialogue-based chatbot designed for English education. It also naturally switches to a new topic or situation in response to out-of-topic utterances, which are common among English beginners. Furthermore, PEEP-Talk provides feedback score on conversation and grammar error correction. We performed automatic and user evaluations to validate performance and education efficiency of our system. The results show that PEEP-Talk generates appropriate responses in various real-life situations while providing accurate feedback to learners. Moreover, we demonstrate a positive impact on English-speaking, grammar, and English learning anxiety, implying that PEEP-Talk can lower the barrier to learning natural conversation in effective ways.</abstract>
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%0 Conference Proceedings
%T PEEP-Talk: A Situational Dialogue-based Chatbot for English Education
%A Lee, Seungjun
%A Jang, Yoonna
%A Park, Chanjun
%A Lee, Jungseob
%A Seo, Jaehyung
%A Moon, Hyeonseok
%A Eo, Sugyeong
%A Lee, Seounghoon
%A Yahya, Bernardo
%A Lim, Heuiseok
%Y Bollegala, Danushka
%Y Huang, Ruihong
%Y Ritter, Alan
%S Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F lee-etal-2023-peep
%X English is acknowledged worldwide as a mode of communication. However, due to the absence of realistic practicing scenarios, students learning English as a foreign language (EFL) typically have limited chances to converse and share feedback with others. In this paper, we propose PEEP-Talk, a real-world situational dialogue-based chatbot designed for English education. It also naturally switches to a new topic or situation in response to out-of-topic utterances, which are common among English beginners. Furthermore, PEEP-Talk provides feedback score on conversation and grammar error correction. We performed automatic and user evaluations to validate performance and education efficiency of our system. The results show that PEEP-Talk generates appropriate responses in various real-life situations while providing accurate feedback to learners. Moreover, we demonstrate a positive impact on English-speaking, grammar, and English learning anxiety, implying that PEEP-Talk can lower the barrier to learning natural conversation in effective ways.
%R 10.18653/v1/2023.acl-demo.18
%U https://aclanthology.org/2023.acl-demo.18
%U https://doi.org/10.18653/v1/2023.acl-demo.18
%P 190-207
Markdown (Informal)
[PEEP-Talk: A Situational Dialogue-based Chatbot for English Education](https://aclanthology.org/2023.acl-demo.18) (Lee et al., ACL 2023)
ACL
- Seungjun Lee, Yoonna Jang, Chanjun Park, Jungseob Lee, Jaehyung Seo, Hyeonseok Moon, Sugyeong Eo, Seounghoon Lee, Bernardo Yahya, and Heuiseok Lim. 2023. PEEP-Talk: A Situational Dialogue-based Chatbot for English Education. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 190–207, Toronto, Canada. Association for Computational Linguistics.