A Gamified Approach to Frame Semantic Role Labeling

Emily Amspoker, Miriam R L Petruck


Abstract
Much research has investigated the possibility of creating games with a purpose (GWAPs), i.e., online games whose purpose is gathering information to address the insufficient amount of data for training and testing of large language models (Von Ahn and Dabbish, 2008). Based on such work, this paper reports on the development of a game for frame semantic role labeling, where players have fun while using semantic frames as prompts for short story writing. This game will generate more annotations for FrameNet and original content for annotation, supporting FrameNet’s goal of characterizing the English language in terms of Frame Semantics.
Anthology ID:
2022.dash-1.6
Volume:
Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances)
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates (Hybrid)
Editors:
Eduard Dragut, Yunyao Li, Lucian Popa, Slobodan Vucetic, Shashank Srivastava
Venue:
DaSH
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
37–42
Language:
URL:
https://aclanthology.org/2022.dash-1.6
DOI:
Bibkey:
Cite (ACL):
Emily Amspoker and Miriam R L Petruck. 2022. A Gamified Approach to Frame Semantic Role Labeling. In Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances), pages 37–42, Abu Dhabi, United Arab Emirates (Hybrid). Association for Computational Linguistics.
Cite (Informal):
A Gamified Approach to Frame Semantic Role Labeling (Amspoker & Petruck, DaSH 2022)
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PDF:
https://aclanthology.org/2022.dash-1.6.pdf
Video:
 https://aclanthology.org/2022.dash-1.6.mp4