Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System

Naoki Otani, Daisuke Kawahara, Sadao Kurohashi, Nobuhiro Kaji, Manabu Sassano


Abstract
Commonsense knowledge is essential for fully understanding language in many situations. We acquire large-scale commonsense knowledge from humans using a game with a purpose (GWAP) developed on a smartphone spoken dialogue system. We transform the manual knowledge acquisition process into an enjoyable quiz game and have collected over 150,000 unique commonsense facts by gathering the data of more than 70,000 players over eight months. In this paper, we present a simple method for maintaining the quality of acquired knowledge and an empirical analysis of the knowledge acquisition process. To the best of our knowledge, this is the first work to collect large-scale knowledge via a GWAP on a widely-used spoken dialogue system.
Anthology ID:
W16-4402
Volume:
Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016)
Month:
December
Year:
2016
Address:
Osaka, Japan
Venue:
WS
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
11–20
Language:
URL:
https://aclanthology.org/W16-4402
DOI:
Bibkey:
Cite (ACL):
Naoki Otani, Daisuke Kawahara, Sadao Kurohashi, Nobuhiro Kaji, and Manabu Sassano. 2016. Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System. In Proceedings of the Open Knowledge Base and Question Answering Workshop (OKBQA 2016), pages 11–20, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System (Otani et al., 2016)
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PDF:
https://preview.aclanthology.org/ingestion-script-update/W16-4402.pdf