Verb Categorisation for Hindi Word Problem Solving (2312.11395v1)
Abstract: 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.
- BERT: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers), pages 4171–4186, Minneapolis, Minnesota. Association for Computational Linguistics.
- Learning word vectors for 157 languages. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
- Learning to solve arithmetic word problems with verb categorization. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 523–533, Doha, Qatar. Association for Computational Linguistics.
- Muril: Multilingual representations for indian languages. arXiv preprint arXiv:2103.10730.
- Ilya Loshchilov and Frank Hutter. 2017. Decoupled weight decay regularization. arXiv preprint arXiv:1711.05101.
- John McCarthy. 1980. Circumscription—a form of non-monotonic reasoning. Artificial intelligence, 13(1-2):27–39.
- Multi Task Learning Based Shallow Parsing for Indian Languages.
- Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12:2825–2830.
- HAWP: a dataset for Hindi arithmetic word problem solving. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3479–3490, Marseille, France. European Language Resources Association.
- Attention is all you need. Advances in neural information processing systems, 30.
- Huggingface’s transformers: State-of-the-art natural language processing. arXiv preprint arXiv:1910.03771.
- Harshita Sharma (13 papers)
- Pruthwik Mishra (12 papers)
- Dipti Misra Sharma (15 papers)