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.- Anthology ID:
- 2020.acl-demos.4
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 24–29
- Language:
- URL:
- https://aclanthology.org/2020.acl-demos.4
- DOI:
- 10.18653/v1/2020.acl-demos.4
- Cite (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.
- Cite (Informal):
- Tabouid: a Wikipedia-based word guessing game (Bernard, ACL 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.acl-demos.4.pdf