343 citations · 503 across the 8 of their papers we have counts for
4 papers · 1 filter
MAD for Robust Reinforcement Learning in Machine Translation
Domenic Donato, Lei Yu, Wang Ling +1
We introduce a new distributed policy gradient algorithm and show that it outperforms existing reward-aware training procedures such as REINFORCE, minimum risk training (MRT) and p…
Learning to Compose Words into Sentences with Reinforcement Learning
Dani Yogatama, Phil Blunsom, Chris Dyer +2
We use reinforcement learning to learn tree-structured neural networks for computing representations of natural language sentences. In contrast with prior work on tree-structured m…
What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro, Miguel Ballesteros, Lingpeng Kong +3
Recurrent neural network grammars (RNNG) are a recently proposed probabilistic generative modeling family for natural language. They show state-of-the-art language modeling and par…
The Neural Noisy Channel
Lei Yu, Phil Blunsom, Chris Dyer +2
We formulate sequence to sequence transduction as a noisy channel decoding problem and use recurrent neural networks to parameterise the source and channel models. Unlike direct mo…