@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.",
}

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.
Lee, Seungjun Jang, Yoonna Park, Chanjun Lee, Jungseob Seo, Jaehyung Moon, Hyeonseok Eo, Sugyeong Lee, Seounghoon Yahya, Bernardo Lim, Heuiseok
PEEP-Talk: A Situational Dialogue-based Chatbot for English Education