4 citations · 4 across the 5 of their papers we have counts for
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cs.CL2019
Memory-Augmented Recurrent Networks for Dialogue Coherence
David Donahue, Yuanliang Meng, Anna Rumshisky
Recent dialogue approaches operate by reading each word in a conversation history, and aggregating accrued dialogue information into a single state. This fixed-size vector is not e…
cs.LG2019★ 4 cited
Solving Math Word Problems with Double-Decoder Transformer
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…