papers
Publications (14)
cs.CL2017
Low-Rank Hidden State Embeddings for Viterbi Sequence Labeling
Dung Thai, Shikhar Murty, Trapit Bansal +3
cs.CL2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell, Patrick Verga, David Belanger +1
stat.ML2016
Ask the GRU: Multi-Task Learning for Deep Text Recommendations
Trapit Bansal, David Belanger, Andrew McCallum
physics.chem-ph2019
Rapid Prediction of Electron-Ionization Mass Spectrometry using Neural Networks
Jennifer N. Wei, David Belanger, Ryan P. Adams +1
cs.CL2014
Learning Soft Linear Constraints with Application to Citation Field Extraction
Sam Anzaroot, Alexandre Passos, David Belanger +1
stat.ML2017
End-to-End Learning for Structured Prediction Energy Networks
David Belanger, Bishan Yang, Andrew McCallum
cs.CL2016
Multilingual Relation Extraction using Compositional Universal Schema
Patrick Verga, David Belanger, Emma Strubell +2
cs.LG2015
Bethe Learning of Conditional Random Fields via MAP Decoding
Kui Tang, Nicholas Ruozzi, David Belanger +1
stat.ML2016
Bethe Projections for Non-Local Inference
Luke Vilnis, David Belanger, Daniel Sheldon +1
stat.ML2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo Mena, David Belanger, Scott Linderman +1
cs.CL2017
Chains of Reasoning over Entities, Relations, and Text using Recurrent Neural Networks
Rajarshi Das, Arvind Neelakantan, David Belanger +1
cs.LG2016
Structured Prediction Energy Networks
David Belanger, Andrew McCallum
cs.CV2017
Synthesizing Normalized Faces from Facial Identity Features
Forrester Cole, David Belanger, Dilip Krishnan +3
stat.ML2015
A Linear Dynamical System Model for Text
David Belanger, Sham Kakade