Eisner, Jason, Johns Hopkins University
-
The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages
Dingquan Wang, Jason Eisner Vol 4 (2016)
Abstract PDF (presented at EMNLP 2016)
-
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira, Jason Eisner Vol 5 (2017)
Abstract PDF (presented at ACL 2017)
-
Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning
Dingquan Wang, Jason Eisner Vol 5 (2017)
Abstract PDF (presented at ACL 2017)
-
On the Complexity and Typology of Inflectional Morphological Systems
Ryan D Cotterell, Christo Kirov, Mans Hulden, Jason Eisner Vol 7 (2019)
Abstract Article at MIT Press
(Presented at ACL 2018)
-
Surface Statistics of an Unknown Language Indicate How to Parse It
Dingquan Wang, Jason Eisner Vol 6 (2018)
Abstract Article at MIT Press
(presented at EMNLP 2018)
-
A Generative Model for Punctuation in Dependency Trees
Xiang Li, Dingquan Wang, Jason Eisner Vol 7 (2019)
Abstract Article at MIT Press
(Presented at EMNLP 2019)
ISSN: 2307-387X