1.3k citations · 3.2k across the 44 of their papers we have counts for
6 papers · 1 filter
Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav
We present a novel algorithm that uses exact learning and abstraction to extract a deterministic finite automaton describing the state dynamics of a given trained RNN. We do this u…
Controlling Linguistic Style Aspects in Neural Language Generation
Jessica Ficler, Yoav Goldberg
Most work on neural natural language generation (NNLG) focus on controlling the content of the generated text. We experiment with controlling several stylistic aspects of the gener…
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Emile Enguehard, Yoav Goldberg, Tal Linzen
Recent work has explored the syntactic abilities of RNNs using the subject-verb agreement task, which diagnoses sensitivity to sentence structure. RNNs performed this task well in…
On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig, Yoav Goldberg, Chris Dyer
Dynamic neural network toolkits such as PyTorch, DyNet, and Chainer offer more flexibility for implementing models that cope with data of varying dimensions and structure, relative…
Towards String-to-Tree Neural Machine Translation
Roee Aharoni, Yoav Goldberg
We present a simple method to incorporate syntactic information about the target language in a neural machine translation system by translating into linearized, lexicalized constit…
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg +22
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…