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arXiv · 1803.08652

Studio Ousia's Quiz Bowl Question Answering System

Ikuya Yamada·Ryuji Tamaki·Hiroyuki Shindo·Yoshiyasu Takefuji
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Abstract

In this chapter, we describe our question answering system, which was the winning system at the Human-Computer Question Answering (HCQA) Competition at the Thirty-first Annual Conference on Neural Information Processing Systems (NIPS). The competition requires participants to address a factoid question answering task referred to as quiz bowl. To address this task, we use two novel neural network models and combine these models with conventional information retrieval models using a supervised machine learning model. Our system achieved the best performance among the systems submitted in the competition and won a match against six top human quiz experts by a wide margin.

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Ikuya Yamada, Ryuji Tamaki, Hiroyuki Shindo, Yoshiyasu Takefuji. 2018-03-23. Studio Ousia's Quiz Bowl Question Answering System. https://arxiv.org/abs/1803.08652

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