@inproceedings{bernard-2020-tabouid,
title = "{T}abouid: a {W}ikipedia-based word guessing game",
author = "Bernard, Timoth{\'e}e",
editor = "Celikyilmaz, Asli and
Wen, Tsung-Hsien",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-demos.4",
doi = "10.18653/v1/2020.acl-demos.4",
pages = "24--29",
abstract = "We present Tabouid, a word-guessing game automatically generated from Wikipedia. Tabouid contains 10,000 (virtual) cards in English, and as many in French, covering not only words and linguistic expressions but also a variety of topics including artists, historical events or scientific concepts. Each card corresponds to a Wikipedia article, and conversely, any article could be turned into a card. A range of relatively simple NLP and machine-learning techniques are effectively integrated into a two-stage process. First, a large subset of Wikipedia articles are scored - this score estimates the difficulty, or alternatively, the playability of the page. Then, the best articles are turned into cards by selecting, for each of them, a list of banned words based on its content. We believe that the game we present is more than mere entertainment and that, furthermore, this paper has pedagogical potential.",
}
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%0 Conference Proceedings
%T Tabouid: a Wikipedia-based word guessing game
%A Bernard, Timothée
%Y Celikyilmaz, Asli
%Y Wen, Tsung-Hsien
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F bernard-2020-tabouid
%X We present Tabouid, a word-guessing game automatically generated from Wikipedia. Tabouid contains 10,000 (virtual) cards in English, and as many in French, covering not only words and linguistic expressions but also a variety of topics including artists, historical events or scientific concepts. Each card corresponds to a Wikipedia article, and conversely, any article could be turned into a card. A range of relatively simple NLP and machine-learning techniques are effectively integrated into a two-stage process. First, a large subset of Wikipedia articles are scored - this score estimates the difficulty, or alternatively, the playability of the page. Then, the best articles are turned into cards by selecting, for each of them, a list of banned words based on its content. We believe that the game we present is more than mere entertainment and that, furthermore, this paper has pedagogical potential.
%R 10.18653/v1/2020.acl-demos.4
%U https://aclanthology.org/2020.acl-demos.4
%U https://doi.org/10.18653/v1/2020.acl-demos.4
%P 24-29
Markdown (Informal)
[Tabouid: a Wikipedia-based word guessing game](https://aclanthology.org/2020.acl-demos.4) (Bernard, ACL 2020)
ACL
- Timothée Bernard. 2020. Tabouid: a Wikipedia-based word guessing game. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 24–29, Online. Association for Computational Linguistics.