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
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
Bibkey:
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)
Copy Citation:
PDF:
https://aclanthology.org/D17-2007.pdf