A Tag-Based Statistical English Math Word Problem Solver with Understanding, Reasoning and Explanation
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4254-4254.
Abstract
This demonstration presents a tag-based statistical English math word problem (MWP) solver with understanding, reasoning, and explanation. It analyzes the text and transforms both body and question parts into their tag-based logic forms, and then performs inference on them. The proposed tag (e.g., Agent, Verb, etc.) provides the flexibility for annotating an extracted math quantity with its associated syntactic and semantic information, which can be used to identify the desired operand and filter out irrelevant quantities (so that the answer can be obtained precisely). Since the physical meaning of each quantity is explicitly represented with those tags and used in the inference process, the proposed approach could explain how the answer is obtained in a human comprehensible way.
@inproceedings{ijcai2016p647,
title = {A Tag-Based Statistical English Math Word Problem Solver with Understanding, Reasoning and Explanation},
author = {Liang, Chao-Chun and Hsu, Kuang-Yi and Huang, Chien-Tsung and Li, Chung-Min and Miao, Shen-Yu and Su, Keh-Yih},
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 = {4254--4254},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/647},
}
TY - CPAPER TI - A Tag-Based Statistical English Math Word Problem Solver with Understanding, Reasoning and Explanation AU - Liang, Chao-Chun AU - Hsu, Kuang-Yi AU - Huang, Chien-Tsung AU - Li, Chung-Min AU - Miao, Shen-Yu AU - Su, Keh-Yih 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 - 4254 EP - 4254 UR - https://ijcai.org/proceedings/2016/647 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: