activity
20142026
most citedConvolutional Sequence to Sequence Learning

2.6k citations · 5k across the 50 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

cs.CL2019

Translationese as a Language in "Multilingual" NMT

Parker Riley, Isaac Caswell, Markus Freitag +1

Machine translation has an undesirable propensity to produce "translationese" artifacts, which can lead to higher BLEU scores while being liked less by human raters. Motivated by t…

cs.CL2019★ 14 cited

ELI5: Long Form Question Answering

Angela Fan, Yacine Jernite, Ethan Perez +3

We introduce the first large-scale corpus for long-form question answering, a task requiring elaborate and in-depth answers to open-ended questions. The dataset comprises 270K thre…

cs.CL2019

Tagged Back-Translation

Isaac Caswell, Ciprian Chelba, David Grangier

Recent work in Neural Machine Translation (NMT) has shown significant quality gains from noised-beam decoding during back-translation, a method to generate synthetic parallel data.…

cs.LG2019

Unsupervised Paraphrasing without Translation

Aurko Roy, David Grangier

Paraphrasing exemplifies the ability to abstract semantic content from surface forms. Recent work on automatic paraphrasing is dominated by methods leveraging Machine Translation (…

cs.CL2019★ 163 cited

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Myle Ott, Sergey Edunov, Alexei Baevski +5

fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text…

cs.CV2019★ 150 cited

Modeling Human Motion with Quaternion-based Neural Networks

Dario Pavllo, Christoph Feichtenhofer, Michael Auli +1

Previous work on predicting or generating 3D human pose sequences regresses either joint rotations or joint positions. The former strategy is prone to error accumulation along the…