Abstract
We introduce a new type of problems for math word problem (MWP) solvers, named Noun-MWPs, whose answer is a non-numerical string containing a noun from the problem text. We present a novel method to empower existing MWP solvers to handle Noun-MWPs, and apply the method on Expression-Pointer Transformer (EPT). Our model, N-EPT, solves Noun-MWPs significantly better than other models, and at the same time, solves conventional MWPs as well. Solving Noun-MWPs may lead to bridging MWP solvers and traditional question-answering NLP models.- Anthology ID:
- 2022.coling-1.338
- Original:
- 2022.coling-1.338v1
- Version 2:
- 2022.coling-1.338v2
- Volume:
- Proceedings of the 29th International Conference on Computational Linguistics
- Month:
- October
- Year:
- 2022
- Address:
- Gyeongju, Republic of Korea
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 3847–3857
- Language:
- URL:
- https://aclanthology.org/2022.coling-1.338
- DOI:
- Cite (ACL):
- Taehun Cha, Jaeheun Jung, and Donghun Lee. 2022. Noun-MWP: Math Word Problems Meet Noun Answers. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3847–3857, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
- Cite (Informal):
- Noun-MWP: Math Word Problems Meet Noun Answers (Cha et al., COLING 2022)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2022.coling-1.338.pdf
- Data
- MAWPS