27 citations · 33 across the 2 of their papers we have counts for
8 papers
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…
Coordination Annotation Extension in the Penn Tree Bank
Jessica Ficler, Yoav Goldberg
Coordination is an important and common syntactic construction which is not handled well by state of the art parsers. Coordinations in the Penn Treebank are missing internal struct…
Improved Parsing for Argument-Clusters Coordination
Jessica Ficler, Yoav Goldberg
Syntactic parsers perform poorly in prediction of Argument-Cluster Coordination (ACC). We change the PTB representation of ACC to be more suitable for learning by a statistical PCF…