論 文Papers

CONFERENCE (INTERNATIONAL)

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

Naoki Otani (Kyoto Univ.), Daisuke Kawahara (Kyoto Univ.), Sadao Kurohashi (Kyoto Univ.), Nobuhiro Kaji and Manabu Sassano

Open Knowledge Base and Question Answering Workshop (OKBQA 2016), 2016

Category:

自然言語処理 (Natural Language Processing)

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.
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Large-Scale Acquisition of Commonsense Knowledge via a Quiz Game on a Dialogue System(外部サイト/External Site Link)