8 citations · 8 across the 1 of their papers we have counts for
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cs.CL2018
Learning to Write with Cooperative Discriminators
Ari Holtzman, Jan Buys, Maxwell Forbes +3
Recurrent Neural Networks (RNNs) are powerful autoregressive sequence models, but when used to generate natural language their output tends to be overly generic, repetitive, and se…
cs.CL2017★ 8 cited
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
David Golub, Po-Sen Huang, Xiaodong He +1
We develop a technique for transfer learning in machine comprehension (MC) using a novel two-stage synthesis network (SynNet). Given a high-performing MC model in one domain, our t…
cs.CL2016
Character-Level Question Answering with Attention
David Golub, Xiaodong He
We show that a character-level encoder-decoder framework can be successfully applied to question answering with a structured knowledge base. We use our model for single-relation qu…