Taking Up the Gaokao Challenge: An Information Retrieval Approach
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 2479-2484.
Abstract
Answering questions in a university's entrance examination like Gaokao in China challenges AI technology. As a preliminary attempt to take up this challenge, we focus on multiple-choice questions in Gaokao, and propose a three-stage approach that exploits and extends information retrieval techniques. Taking Wikipedia as the source of knowledge, our approach obtains knowledge relevant to a question by retrieving pages from Wikipedia via string matching and context-based disambiguation, and then ranks and filters pages using multiple strategies to draw critical evidence, based on which the truth of each option is assessed via relevance-based entailment. It achieves encouraging results on real-life questions in recent history tests, significantly outperforming baseline approaches.
@inproceedings{ijcai2016p353,
title = {Taking Up the Gaokao Challenge: An Information Retrieval Approach},
author = {Cheng, Gong and Zhu, Weixi and Wang, Ziwei and Chen, Jianghui and Qu, Yuzhong},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {2479--2484},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/353},
}
TY - CPAPER TI - Taking Up the Gaokao Challenge: An Information Retrieval Approach AU - Cheng, Gong AU - Zhu, Weixi AU - Wang, Ziwei AU - Chen, Jianghui AU - Qu, Yuzhong T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 2479 EP - 2484 UR - https://ijcai.org/proceedings/2016/353 ER -Copied
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