Jacob Devlin

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Zero-Shot Entity Linking by Reading Entity Descriptions

We present the zero-shot entity linking task, where mentions must be lin...
06/18/2019 ∙ by Lajanugen Logeswaran, et al. ∙ 0 ∙ share

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Synthetic QA Corpora Generation with Roundtrip Consistency

We introduce a novel method of generating synthetic question answering c...
06/12/2019 ∙ by Chris Alberti, et al. ∙ 0 ∙ share

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Language Model Pre-training for Hierarchical Document Representations

Hierarchical neural architectures are often used to capture long-distanc...
01/26/2019 ∙ by Ming-Wei Chang, et al. ∙ 0 ∙ share

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

We introduce a new language representation model called BERT, which stan...
10/11/2018 ∙ by Jacob Devlin, et al. ∙ 0 ∙ share

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Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Program synthesis is the task of automatically generating a program cons...
05/11/2018 ∙ by Rudy Bunel, et al. ∙ 0 ∙ share

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Universal Neural Machine Translation for Extremely Low Resource Languages

In this paper, we propose a new universal machine translation approach f...
02/15/2018 ∙ by Jiatao Gu, et al. ∙ 0 ∙ share

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Semantic Code Repair using Neuro-Symbolic Transformation Networks

We study the problem of semantic code repair, which can be broadly defin...
10/30/2017 ∙ by Jacob Devlin, et al. ∙ 0 ∙ share

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Neural Program Meta-Induction

Most recently proposed methods for Neural Program Induction work under t...
10/11/2017 ∙ by Jacob Devlin, et al. ∙ 0 ∙ share

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Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU

Attentional sequence-to-sequence models have become the new standard for...
05/04/2017 ∙ by Jacob Devlin, et al. ∙ 0 ∙ share

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Visual Storytelling

We introduce the first dataset for sequential vision-to-language, and ex...
04/13/2016 ∙ by Ting-Hao, et al. ∙ 0 ∙ share

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Generating Natural Questions About an Image

There has been an explosion of work in the vision & language community d...
03/19/2016 ∙ by Nasrin Mostafazadeh, et al. ∙ 0 ∙ share

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Detecting Interrogative Utterances with Recurrent Neural Networks

In this paper, we explore different neural network architectures that ca...
11/03/2015 ∙ by Junyoung Chung, et al. ∙ 0 ∙ share

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A Survey of Current Datasets for Vision and Language Research

Integrating vision and language has long been a dream in work on artific...
06/23/2015 ∙ by Francis Ferraro, et al. ∙ 0 ∙ share

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Language Models for Image Captioning: The Quirks and What Works

Two recent approaches have achieved state-of-the-art results in image ca...
05/07/2015 ∙ by Jacob Devlin, et al. ∙ 0 ∙ share

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Jacob Devlin

Featured Co-authors

Dhruv Batra

Devi Parikh

Pushmeet Kohli

Honglak Lee

Xiaodong He

Ross Girshick

Rishabh Singh

Victor O. K. Li

Jiatao Gu

Li Deng

Hao Cheng

Zero-Shot Entity Linking by Reading Entity Descriptions

Synthetic QA Corpora Generation with Roundtrip Consistency

Language Model Pre-training for Hierarchical Document Representations

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

Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis

Universal Neural Machine Translation for Extremely Low Resource Languages

Semantic Code Repair using Neuro-Symbolic Transformation Networks

Neural Program Meta-Induction

Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU

Visual Storytelling

Generating Natural Questions About an Image

Detecting Interrogative Utterances with Recurrent Neural Networks

A Survey of Current Datasets for Vision and Language Research

Language Models for Image Captioning: The Quirks and What Works