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We present a systematic investigation of layer-wise BERT activations for general-purpose text representations to understand what linguistic information they capture and how transferable they are across different tasks.
Learning Deep Structured Semantic Models for Web Search using Clickthrough Data
Po-sen Huang, N Mathews Ave Urbana, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, and Larry Heck. 2013 · 2013
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Glove: Global Vectors for Word Representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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A large annotated corpus for learning natural language inference
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning. 2015 · 2015
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Applying deep learning to answer selection: A study and an open task
Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, and Bowen Zhou. 2016 · 2015
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Skip-Thought Vectors
Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S Zemel, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2015 · 2015
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A Compare-Aggregate Model for Matching Text Sequences
Shuohang Wang and Jing Jiang. 2016 · 2016
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Supervised Learning of Universal Sentence Representations from Natural Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loic Barrault, and Antoine Bordes. 2017 · 2017
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Quasar: Datasets for Question Answering by Search and Reading
Bhuwan Dhingra, Kathryn Mazaitis, and William W Cohen. 2017 · 2017
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SearchQA: A New Q&A Dataset Augmented with Context from a Search Engine
Matthew Dunn, Levent Sagun, Mike Higgins, V. Ugur Guney, Volkan Cirik, and Kyunghyun Cho. 2017 · 2017
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Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval
Daniel Cohen, Liu Yang, and W Bruce Croft. 2018 · 2018
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SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau and Douwe Kiela. 2018 · 2018
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, German Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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bert-as-service
Han Xiao. 2018 · 2018
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Adina Williams, Nikita Nangia, and Samuel R. Bowman. 2017 · 2017
Cited alongside, same era.
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, and Nicole Limtiaco. 2018 · 2018
Cited alongside, same era.
Distributed Representations of Words and Phrases and Their Compositionality
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean
Cited in the paper.
Assessing BERT’s Syntactic Abilities
Yoav Goldberg. 2019 · 2019
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