no code implementations • ROCLING 2021 • Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su
Only a few of them adopt several answer generation modules for providing different mechanisms; however, they either lack an aggregation mechanism to merge the answers from various modules, or are too complicated to be implemented with neural networks.
no code implementations • ROCLING 2021 • Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su
We construct two math datasets and show the effectiveness of our algorithms that they can retrieve the required knowledge for problem-solving.
1 code implementation • ACL 2020 • Shen-yun Miao, Chao-Chun Liang, Keh-Yih Su
We present ASDiv (Academia Sinica Diverse MWP Dataset), a diverse (in terms of both language patterns and problem types) English math word problem (MWP) corpus for evaluating the capability of various MWP solvers.
no code implementations • 26 Jun 2021 • Daniel Lee, Chao-Chun Liang, Keh-Yih Su
We present a novel approach to answer the Chinese elementary school Social Study Multiple Choice questions.
1 code implementation • ACL 2021 • Shih-hung Tsai, Chao-Chun Liang, Hsin-Min Wang, Keh-Yih Su
With the recent advancements in deep learning, neural solvers have gained promising results in solving math word problems.
1 code implementation • NAACL 2018 • Chao-Chun Liang, Yu-Shiang Wong, Yi-Chung Lin, Keh-Yih Su
We introduce MeSys, a meaning-based approach, for solving English math word problems (MWPs) via understanding and reasoning in this paper.
no code implementations • COLING 2016 • Chao-Chun Liang, Shih-Hong Tsai, Ting-Yun Chang, Yi-Chung Lin, Keh-Yih Su
This paper presents a meaning-based statistical math word problem (MWP) solver with understanding, reasoning and explanation.