3 papers
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
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…
cs.IR2018
Triad-based Neural Network for Coreference Resolution
Yuanliang Meng, Anna Rumshisky
We propose a triad-based neural network system that generates affinity scores between entity mentions for coreference resolution. The system simultaneously accepts three mentions a…