4 citations · 4 across the 5 of their papers we have counts for
5 papers
Construct a Sentence with Multiple Specified Words
Yuanliang Meng
This paper demonstrates a task to finetune a BART model so it can construct a sentence from an arbitrary set of words, which used to be a difficult NLP task. The training task is m…
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…
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…
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…
Temporal Information Extraction for Question Answering Using Syntactic Dependencies in an LSTM-based Architecture
Yuanliang Meng, Anna Rumshisky, Alexey Romanov
In this paper, we propose to use a set of simple, uniform in architecture LSTM-based models to recover different kinds of temporal relations from text. Using the shortest dependenc…