6 citations · 10 across the 2 of their papers we have counts for
3 papers
cs.CL2019
A Generative Model for Punctuation in Dependency Trees
Xiang Lisa Li, Dingquan Wang, Jason Eisner
Treebanks traditionally treat punctuation marks as ordinary words, but linguists have suggested that a tree's "true" punctuation marks are not observed (Nunberg, 1990). These laten…
cs.CL2017★ 6 cited
Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning
Dingquan Wang, Jason Eisner
We show how to predict the basic word-order facts of a novel language given only a corpus of part-of-speech (POS) sequences. We predict how often direct objects follow their verbs,…
cs.CL2017★ 4 cited
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages
Dingquan Wang, Jason Eisner
We release Galactic Dependencies 1.0---a large set of synthetic languages not found on Earth, but annotated in Universal Dependencies format. This new resource aims to provide trai…