@inproceedings{wang-demszky-2024-edu,
title = "Edu-{C}onvo{K}it: An Open-Source Library for Education Conversation Data",
author = "Wang, Rose and
Demszky, Dorottya",
editor = "Chang, Kai-Wei and
Lee, Annie and
Rajani, Nazneen",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.naacl-demo.6/",
doi = "10.18653/v1/2024.naacl-demo.6",
pages = "61--69",
abstract = "We introduce Edu-ConvoKit, an open-source library designed to handle pre-processing, annotation and analysis of conversation data in education. Resources for analyzing education conversation data are scarce, making the research challenging to perform and therefore hard to access. We address these challenges with Edu-ConvoKit. Edu-ConvoKit is open-source [1], pip-installable [2], with comprehensive documentation [3]. Our demo video is available at: https://youtu.be/zdcI839vAko?si=h9qlnl76ucSuXb8-. We include additional resources, such as Colab applications of Edu-ConvoKit to three diverse education datasets [4] and a repository of Edu-ConvoKit-related papers [5].[1] https://github.com/stanfordnlp/edu-convokit[2] https://pypi.org/project/edu-convokit/[3] https://edu-convokit.readthedocs.io/en/latest/[4] https://github.com/stanfordnlp/edu-convokit?tab=readme-ov-file{\#}datasets-with-edu-convokit[5] https://github.com/stanfordnlp/edu-convokit/blob/main/papers.md"
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<abstract>We introduce Edu-ConvoKit, an open-source library designed to handle pre-processing, annotation and analysis of conversation data in education. Resources for analyzing education conversation data are scarce, making the research challenging to perform and therefore hard to access. We address these challenges with Edu-ConvoKit. Edu-ConvoKit is open-source [1], pip-installable [2], with comprehensive documentation [3]. Our demo video is available at: https://youtu.be/zdcI839vAko?si=h9qlnl76ucSuXb8-. We include additional resources, such as Colab applications of Edu-ConvoKit to three diverse education datasets [4] and a repository of Edu-ConvoKit-related papers [5].[1] https://github.com/stanfordnlp/edu-convokit[2] https://pypi.org/project/edu-convokit/[3] https://edu-convokit.readthedocs.io/en/latest/[4] https://github.com/stanfordnlp/edu-convokit?tab=readme-ov-file#datasets-with-edu-convokit[5] https://github.com/stanfordnlp/edu-convokit/blob/main/papers.md</abstract>
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%0 Conference Proceedings
%T Edu-ConvoKit: An Open-Source Library for Education Conversation Data
%A Wang, Rose
%A Demszky, Dorottya
%Y Chang, Kai-Wei
%Y Lee, Annie
%Y Rajani, Nazneen
%S Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)
%D 2024
%8 June
%I Association for Computational Linguistics
%C Mexico City, Mexico
%F wang-demszky-2024-edu
%X We introduce Edu-ConvoKit, an open-source library designed to handle pre-processing, annotation and analysis of conversation data in education. Resources for analyzing education conversation data are scarce, making the research challenging to perform and therefore hard to access. We address these challenges with Edu-ConvoKit. Edu-ConvoKit is open-source [1], pip-installable [2], with comprehensive documentation [3]. Our demo video is available at: https://youtu.be/zdcI839vAko?si=h9qlnl76ucSuXb8-. We include additional resources, such as Colab applications of Edu-ConvoKit to three diverse education datasets [4] and a repository of Edu-ConvoKit-related papers [5].[1] https://github.com/stanfordnlp/edu-convokit[2] https://pypi.org/project/edu-convokit/[3] https://edu-convokit.readthedocs.io/en/latest/[4] https://github.com/stanfordnlp/edu-convokit?tab=readme-ov-file#datasets-with-edu-convokit[5] https://github.com/stanfordnlp/edu-convokit/blob/main/papers.md
%R 10.18653/v1/2024.naacl-demo.6
%U https://aclanthology.org/2024.naacl-demo.6/
%U https://doi.org/10.18653/v1/2024.naacl-demo.6
%P 61-69
Markdown (Informal)
[Edu-ConvoKit: An Open-Source Library for Education Conversation Data](https://aclanthology.org/2024.naacl-demo.6/) (Wang & Demszky, NAACL 2024)
ACL
- Rose Wang and Dorottya Demszky. 2024. Edu-ConvoKit: An Open-Source Library for Education Conversation Data. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations), pages 61–69, Mexico City, Mexico. Association for Computational Linguistics.