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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
We review the EfficientQA competition from NeurIPS 2020. The competition...
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QED: A Framework and Dataset for Explanations in Question Answering
A question answering system that in addition to providing an answer prov...
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Data Weighted Training Strategies for Grammatical Error Correction
Recent progress in the task of Grammatical Error Correction (GEC) has be...
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Big Bird: Transformers for Longer Sequences
Transformers-based models, such as BERT, have been one of the most succe...
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ETC: Encoding Long and Structured Data in Transformers
Transformer-based models have pushed the state of the art in many natura...
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Fusion of Detected Objects in Text for Visual Question Answering
To advance models of multimodal context, we introduce a simple yet power...
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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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Corpora Generation for Grammatical Error Correction
Grammatical Error Correction (GEC) has been recently modeled using the s...
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A BERT Baseline for the Natural Questions
This technical note describes a new baseline for the Natural Questions. ...
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SyntaxNet Models for the CoNLL 2017 Shared Task
We describe a baseline dependency parsing system for the CoNLL2017 Share...
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DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks
In this work, we present a compact, modular framework for constructing n...
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Globally Normalized Transition-Based Neural Networks
We introduce a globally normalized transition-based neural network model...
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Structured Training for Neural Network Transition-Based Parsing
We present structured perceptron training for neural network transition-...
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