Jacob Devlin

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Fast and Robust Neural Network Joint Models for Statistical Machine Translation

Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard M. Schwartz, John Makhoul
ACL
2014

Recent work has shown success in using neural network language models (NNLMs) as features in MT systems. Here, we present a novel formulation for a neural network joint model (NNJM), which augments… (More)

Language Models for Image Captioning: The Quirks and What Works

Jacob Devlin, Hao Cheng, +5 authors Margaret Mitchell
ACL
2015

Two recent approaches have achieved state-of-the-art results in image captioning. The first uses a pipelined process where a set of candidate words is generated by a convolutional neural network… (More)

RobustFill: Neural Program Learning under Noisy I/O

Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli
ICML
2017

The problem of automatically generating a computer program from some specification has been studied since the early days of AI. Recently, two competing approaches for automatic program learning have… (More)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
ArXiv
2018

We introduce a new language representation model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language representation models (Peters et al.,… (More)

Machine Translation of Arabic Dialects

Rabih Zbib, Erika Malchiodi, +6 authors Chris Callison-Burch
HLT-NAACL
2012

Arabic Dialects present many challenges for machine translation, not least of which is the lack of data resources. We use crowdsourcing to cheaply and quickly build LevantineEnglish and… (More)

Exploring Nearest Neighbor Approaches for Image Captioning

Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick
ArXiv
2015

We explore a variety of nearest neighbor baseline approaches for image captioning. These approaches find a set of nearest neighbor images in the training set from which a caption may be borrowed for… (More)

Generating Natural Questions About an Image

Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende
ACL
2016

There has been an explosion of work in the vision & language community during the past few years from image captioning to video transcription, and answering questions about images. These tasks focus… (More)

Visual Storytelling

Ting-Hao Huang, Francis Ferraro, +12 authors Margaret Mitchell
HLT-NAACL
2016

We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The dataset includes 81,743 unique photos in 20,211… (More)

Universal Neural Machine Translation for Extremely Low Resource Languages

Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li
NAACL-HLT
2018

In this paper, we propose a new universal machine translation approach focusing on languages with a limited amount of parallel data. Our proposed approach utilizes a transfer-learning approach to… (More)

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Rudy R. Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli
ArXiv
2018

Program synthesis is the task of automatically generating a program consistent with a specification. Recent years have seen proposal of a number of neural approaches for program synthesis, many of… (More)

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