2020

• A Joint Model for Document Segmentation and Segment Labeling (ACL 2020)
  Joe Barrow, Rajiv Jain, Vlad I. Morariu, Varun Manjunatha, Philip Resnik, Douglas W. Oard

• It Takes Two to Lie: One to Lie and One to Listen (ACL 2020)
  Denis Peskov, Benny Cheng, Ahmed Elgohary, Joe Barrow, Cristian Danescu-Niculescu-Mizil, Jordan Boyd-Graber

• MATERIALizing Cross-Language Information Retrieval: A Snapshot
  (LREC 2020, CLSSTS Workshop)
  Petra Galuscakova, Douglas W. Oard, Joe Barrow, Suraj Nair, Han-Chin Shing, Elena Zotkina, Ramy Eskander, Rui Zhang

2019

• Mitigating Noisy Inputs for Question Answering (INTERSPEECH 2019)
  Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan Boyd-Graber

• Unsupervised System Combination for Set-Based Retrieval with Expectation Maximization (CLEF 2019)
  Han-Chin Shing, Joe Barrow, Petra Galuscakova, Douglas W. Oard, Philip Resnik

• Surprise Languages: Rapid-Response Cross-Language IR (EVIA 2019)
  (Many Authors)

2018

• From Network to Narrative: Understanding the Nature and Trajectory of Russian Disinformation in the U.S. News (IJPP 2018)
  Sarah Oates, Joe Barrow, Bobbie Foster

2017

• UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity (SemEval 2017)
  Joe Barrow, Denis Peskov

Tutorials

• AllenNLP the Hard Way
  An introduction to AllenNLP, where you learn how to build a neural NER tagger from scratch.

• An Introduction to PyTorch for NLPers
  In which you can learn the basics of PyTorch. A reading group I led at UMD in 2018.

Software

• BERT from Scratch
  A collection of helper scripts to train a BERT model from scratch on TPUs (using Google Compute Engine).

• LambdaNet
  Deep learning framework in Haskell (built in 2014, without autograd).