4 citations · 4 across the 5 of their papers we have counts for
1 paper · 2 filters
Yuanliang Meng, Anna Rumshisky
This paper proposes a Transformer-based model to generate equations for math word problems. It achieves much better results than RNN models when copy and align mechanisms are not u…