Abstract
Word problem Solving is a challenging NLP task that deals with solving mathematical probglems described in natural language. Recently, there has been renewed interest in developing word problem solvers for Indian languages. As part of this paper, we have built a Hindi arithmetic word problem solver which makes use of verbs. Additionally, we have created verb categorization data for Hindi. Verbs are very important for solving word problems with addition/subtraction operations as they help us identify the set of operations required to solve the word problems. We propose a rule-based solver that uses verb categorisation to identify operations in a word problem and generate answers for it. To perform verb categorisation, we explore several approaches and present a comparative study.- Anthology ID:
- 2023.icon-1.59
- Volume:
- Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2023
- Address:
- Goa University, Goa, India
- Editors:
- Jyoti D. Pawar, Sobha Lalitha Devi
- Venue:
- ICON
- SIG:
- SIGLEX
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 613–628
- Language:
- URL:
- https://aclanthology.org/2023.icon-1.59
- DOI:
- Cite (ACL):
- Harshita Sharma, Pruthwik Mishra, and Dipti M. Sharma. 2023. Verb Categorisation for Hindi Word Problem Solving. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 613–628, Goa University, Goa, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Verb Categorisation for Hindi Word Problem Solving (Sharma et al., ICON 2023)
- PDF:
- https://preview.aclanthology.org/fix-dup-bibkey/2023.icon-1.59.pdf