@inproceedings{mechanic-etal-2017-knowyournyms,
title = "{K}now{Y}our{N}yms? A Game of Semantic Relationships",
author = "Mechanic, Ross and
Fulgoni, Dean and
Cutler, Hannah and
Rajana, Sneha and
Liu, Zheyuan and
Jackson, Bradley and
Cocos, Anne and
Callison-Burch, Chris and
Apidianaki, Marianna",
editor = "Specia, Lucia and
Post, Matt and
Paul, Michael",
booktitle = "Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
month = sep,
year = "2017",
address = "Copenhagen, Denmark",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/D17-2007",
doi = "10.18653/v1/D17-2007",
pages = "37--42",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T KnowYourNyms? A Game of Semantic Relationships
%A Mechanic, Ross
%A Fulgoni, Dean
%A Cutler, Hannah
%A Rajana, Sneha
%A Liu, Zheyuan
%A Jackson, Bradley
%A Cocos, Anne
%A Callison-Burch, Chris
%A Apidianaki, Marianna
%Y Specia, Lucia
%Y Post, Matt
%Y Paul, Michael
%S Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2017
%8 September
%I Association for Computational Linguistics
%C Copenhagen, Denmark
%F mechanic-etal-2017-knowyournyms
%X 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.
%R 10.18653/v1/D17-2007
%U https://aclanthology.org/D17-2007
%U https://doi.org/10.18653/v1/D17-2007
%P 37-42
Markdown (Informal)
[KnowYourNyms? A Game of Semantic Relationships](https://aclanthology.org/D17-2007) (Mechanic et al., EMNLP 2017)
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.