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1https://bibbase.org/show?bib=https://www.shane.st/teaching/575/win20/MachineLearning-interpretability.bib&msg=embed
https://bibbase.org/show?bib=https://www.shane.st/teaching/575/win20/MachineLearning-interpretability.bib&msg=embed
5 years ago by @bechr7
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3NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets
V. Dibia. (2020)cite arxiv:2007.15211Comment: 8 pages, 3 figures.
4 years ago by @bechr7
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1QED: A Framework and Dataset for Explanations in Question Answering
M. Lamm, J. Palomaki, C. Alberti, D. Andor, E. Choi, L. Soares, and M. Collins. (2020)cite arxiv:2009.06354.
4 years ago by @bechr7
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2A Simple Language Model for Task-Oriented Dialogue
E. Hosseini-Asl, B. McCann, C. Wu, S. Yavuz, and R. Socher. (2020)cite arxiv:2005.00796Comment: 22 Pages, 2 figures, 16 tables.
4 years ago by @bechr7
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1Contextual Embeddings: When Are They Worth It?
S. Arora, A. May, J. Zhang, and C. Ré. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, page 2650--2663. Online, Association for Computational Linguistics, (July 2020)
4 years ago by @bechr7
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2Linformer: Self-Attention with Linear Complexity
S. Wang, B. Li, M. Khabsa, H. Fang, and H. Ma. (2020)cite arxiv:2006.04768.
4 years ago by @bechr7
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1Zero-shot Entity Linking with Dense Entity Retrieval
L. Wu, F. Petroni, M. Josifoski, S. Riedel, and L. Zettlemoyer. (2019)cite arxiv:1911.03814.
5 years ago by @bechr7
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2FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning
S. Ge, F. Wu, C. Wu, T. Qi, Y. Huang, and X. Xie. (2020)cite arxiv:2003.09288.
5 years ago by @bechr7
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5A Primer in BERTology: What we know about how BERT works
A. Rogers, O. Kovaleva, and A. Rumshisky. (2020)cite arxiv:2002.12327.
5 years ago by @bechr7
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1CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Z. Feng. (2020)
5 years ago by @bechr7
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1Natural Language Understanding with the Quora Question Pairs Dataset
L. Sharma, L. Graesser, N. Nangia, and U. Evci. (2019)cite arxiv:1907.01041.
5 years ago by @bechr7
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2Small and Practical BERT Models for Sequence Labeling
H. Tsai, J. Riesa, M. Johnson, N. Arivazhagan, X. Li, and A. Archer. (2019)cite arxiv:1909.00100Comment: 11 pages including appendices; accepted to appear at EMNLP-IJCNLP 2019.
5 years ago by @bechr7
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3Single Headed Attention RNN: Stop Thinking With Your Head
S. Merity. (2019)cite arxiv:1911.11423Comment: Addition of citations and contextual results (no attention head, single attention head, attention per layer), removal of wordpiece WikiText-103 numbers due to normalization issues, fix of SHA attention figure Q arrow, other minor fixes.
5 years ago by @bechr7
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2Joey NMT: A Minimalist NMT Toolkit for Novices
J. Kreutzer, J. Bastings, and S. Riezler. (2019)cite arxiv:1907.12484.
5 years ago by @bechr7
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1An Encoder-Decoder Framework Translating Natural Language to Database Queries
R. Cai, B. Xu, X. Yang, Z. Zhang, Z. Li, and Z. Liang. (2017)cite arxiv:1711.06061.
5 years ago by @bechr7
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3Defending Against Neural Fake News
R. Zellers, A. Holtzman, H. Rashkin, Y. Bisk, A. Farhadi, F. Roesner, and Y. Choi. (2019)cite arxiv:1905.12616Comment: https://rowanzellers.com/grover.
6 years ago by @bechr7
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4BERT Rediscovers the Classical NLP Pipeline
I. Tenney, D. Das, and E. Pavlick. (2019)cite arxiv:1905.05950Comment: Accepted to ACL 2019.
6 years ago by @bechr7
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2Recent Trends in Deep Learning Based Natural Language Processing
T. Young, D. Hazarika, S. Poria, and E. Cambria. (2017)cite arxiv:1708.02709Comment: Added BERT, ELMo, Transformer.
6 years ago by @bechr7
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28Efficient Estimation of Word Representations in Vector Space
T. Mikolov, K. Chen, G. Corrado, and J. Dean. (2013)cite arxiv:1301.3781.
6 years ago by @bechr7
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1Generating Textual Adversarial Examples for Deep Learning Models: A Survey
W. Zhang, Q. Sheng, and A. Alhazmi. (2019)cite arxiv:1901.06796Comment: 18.
6 years ago by @bechr7
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2Grammar as a Foreign Language
O. Vinyals, L. Kaiser, T. Koo, S. Petrov, I. Sutskever, and G. Hinton. (2014)cite arxiv:1412.7449.
6 years ago by @bechr7
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BibSonomy

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1https://bibbase.org/show?bib=https://www.shane.st/teaching/575/win20/MachineLearning-interpretability.bib&msg=embed

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3NeuralQA: A Usable Library for Question Answering (Contextual Query Expansion + BERT) on Large Datasets

1QED: A Framework and Dataset for Explanations in Question Answering

2A Simple Language Model for Task-Oriented Dialogue

1Contextual Embeddings: When Are They Worth It?

2Linformer: Self-Attention with Linear Complexity

1Zero-shot Entity Linking with Dense Entity Retrieval

2FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning

5A Primer in BERTology: What we know about how BERT works

1CodeBERT: A Pre-Trained Model for Programming and Natural Languages

1Natural Language Understanding with the Quora Question Pairs Dataset

2Small and Practical BERT Models for Sequence Labeling

3Single Headed Attention RNN: Stop Thinking With Your Head

2Joey NMT: A Minimalist NMT Toolkit for Novices

1An Encoder-Decoder Framework Translating Natural Language to Database Queries

3Defending Against Neural Fake News

4BERT Rediscovers the Classical NLP Pipeline

2Recent Trends in Deep Learning Based Natural Language Processing

28Efficient Estimation of Word Representations in Vector Space

1Generating Textual Adversarial Examples for Deep Learning Models: A Survey

2Grammar as a Foreign Language

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