Verb Categorisation for Hindi Word Problem Solving
This addresses word problem solving for Hindi, an Indian language, but is incremental as it builds on existing methods for verb-based approaches.
The paper tackled Hindi arithmetic word problem solving by building a rule-based solver that uses verb categorization to identify operations, resulting in a system that generates answers for addition/subtraction problems.
Word problem Solving is a challenging NLP task that deals with solving mathematical problems 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.