Deep Neural Network based system for solving Arithmetic Word problems
Purvanshi
Mehta
author
Pruthwik
Mishra
author
Vinayak
Athavale
author
Manish
Shrivastava
author
Dipti
Sharma
author
2017-11
text
Proceedings of the IJCNLP 2017, System Demonstrations
Seong-Bae
Park
editor
Thepchai
Supnithi
editor
Association for Computational Linguistics
Tapei, Taiwan
conference publication
This paper presents DILTON a system which solves simple arithmetic word problems. DILTON uses a Deep Neural based model to solve math word problems. DILTON divides the question into two parts - worldstate and query. The worldstate and the query are processed separately in two different networks and finally, the networks are merged to predict the final operation. We report the first deep learning approach for the prediction of operation between two numbers. DILTON learns to predict operations with 88.81% accuracy in a corpus of primary school questions.
mehta-etal-2017-deep
https://aclanthology.org/I17-3017
2017-11
65
68