摘要
Knowledge graphs are widely applied in many applications. Automatically solving mathematical exercises is also an interesting task which can be enhanced by knowledge reasoning. In this paper, we design MathGraph, a knowledge graph aiming to solve high school mathematical exercises. Since it requires fine-grained mathematical derivation and calculation of different mathematical objects, we design a crowdsourcing-based method to help build MathGraph. MathGraph supports massive kinds of mathematical objects, operations and constraints which may be involved in exercises. Furthermore, we propose an algorithm to align a semantically parsed exercise to MathGraph and figure out the answer automatically. Extensive experiments on real-world datasets verify the effectiveness of MathGraph.
源语言 | 英语 |
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页(从-至) | 179-192 |
页数 | 14 |
期刊 | Data Science and Engineering |
卷 | 4 |
期 | 3 |
DOI | |
出版状态 | 已出版 - 1 9月 2019 |
已对外发布 | 是 |