Search Results for author: Adam Teichert

Found 3 papers, 1 papers with code

Learned Prioritization for Trading Off Accuracy and Speed

no code implementations • NeurIPS 2012 • Jiarong Jiang, Adam Teichert, Jason Eisner, Hal Daume

Users want natural language processing (NLP) systems to be both fast and accurate, but quality often comes at the cost of speed.

Imitation Learning

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Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT

no code implementations • TACL 2013 • Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beenish Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao

Machine translation (MT) draws from several different disciplines, making it a complex subject to teach.

Machine Translation Translation +1

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Neural-Davidsonian Semantic Proto-role Labeling

1 code implementation • EMNLP 2018 • Rachel Rudinger, Adam Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme

We present a model for semantic proto-role labeling (SPRL) using an adapted bidirectional LSTM encoding strategy that we call "Neural-Davidsonian": predicate-argument structure is represented as pairs of hidden states corresponding to predicate and argument head tokens of the input sequence.

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