arXiv Open Access 2019

Text2Math: End-to-end Parsing Text into Math Expressions

Yanyan Zou Wei Lu
Lihat Sumber

Abstrak

We propose Text2Math, a model for semantically parsing text into math expressions. The model can be used to solve different math related problems including arithmetic word problems and equation parsing problems. Unlike previous approaches, we tackle the problem from an end-to-end structured prediction perspective where our algorithm aims to predict the complete math expression at once as a tree structure, where minimal manual efforts are involved in the process. Empirical results on benchmark datasets demonstrate the efficacy of our approach.

Topik & Kata Kunci

Penulis (2)

Y

Yanyan Zou

W

Wei Lu

Format Sitasi

Zou, Y., Lu, W. (2019). Text2Math: End-to-end Parsing Text into Math Expressions. https://arxiv.org/abs/1910.06571

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2019
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓