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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...
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Synthetic QA Corpora Generation with Roundtrip Consistency
We introduce a novel method of generating synthetic question answering c...
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Language Model Pre-training for Hierarchical Document Representations
Hierarchical neural architectures are often used to capture long-distanc...
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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...
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Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis
Program synthesis is the task of automatically generating a program cons...
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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...
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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...
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Neural Program Meta-Induction
Most recently proposed methods for Neural Program Induction work under t...
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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...
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Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and ex...
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Generating Natural Questions About an Image
There has been an explosion of work in the vision & language community d...
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Detecting Interrogative Utterances with Recurrent Neural Networks
In this paper, we explore different neural network architectures that ca...
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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...
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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...
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