13 citations · 13 across the 1 of their papers we have counts for
3 papers
cs.CL2016
Transfer Learning for Low-Resource Neural Machine Translation
Barret Zoph, Deniz Yuret, Jonathan May +1
The encoder-decoder framework for neural machine translation (NMT) has been shown effective in large data scenarios, but is much less effective for low-resource languages. We prese…
cs.CL2016
Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre)
Lifu Huang, Jonathan May, Xiaoman Pan +1
Recent research has shown great progress on fine-grained entity typing. Most existing methods require pre-defining a set of types and training a multi-class classifier from a large…
cs.CL2015★ 13 cited
Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation
Michael Pust, Ulf Hermjakob, Kevin Knight +2
We present a parser for Abstract Meaning Representation (AMR). We treat English-to-AMR conversion within the framework of string-to-tree, syntax-based machine translation (SBMT). T…