KnowYourNyms? A Game of Semantic Relationships
Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki
Abstract
Semantic relation knowledge is crucial for natural language understanding. We introduce “KnowYourNyms?”, a web-based game for learning semantic relations. While providing users with an engaging experience, the application collects large amounts of data that can be used to improve semantic relation classifiers. The data also broadly informs us of how people perceive the relationships between words, providing useful insights for research in psychology and linguistics.- Anthology ID:
- D17-2007
- Volume:
- Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Month:
- September
- Year:
- 2017
- Address:
- Copenhagen, Denmark
- Editors:
- Lucia Specia, Matt Post, Michael Paul
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 37–42
- Language:
- URL:
- https://aclanthology.org/D17-2007
- DOI:
- 10.18653/v1/D17-2007
- Cite (ACL):
- Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, and Marianna Apidianaki. 2017. KnowYourNyms? A Game of Semantic Relationships. In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 37–42, Copenhagen, Denmark. Association for Computational Linguistics.
- Cite (Informal):
- KnowYourNyms? A Game of Semantic Relationships (Mechanic et al., EMNLP 2017)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/D17-2007.pdf