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Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering

Nov 10, 2020
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp

* 11 pages, 9 figures, presented in EMNLP 2020 main conference and SustaiNLP 2020 workshop 

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Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets

Aug 06, 2020
Patrick Lewis, Pontus Stenetorp, Sebastian Riedel


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Learning Reasoning Strategies in End-to-End Differentiable Proving

Jul 14, 2020
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel

* Proceedings of the 37th International Conference on Machine Learning (ICML 2020) 

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AxCell: Automatic Extraction of Results from Machine Learning Papers

Apr 29, 2020
Marcin Kardas, Piotr Czapla, Pontus Stenetorp, Sebastian Ruder, Sebastian Riedel, Ross Taylor, Robert Stojnic


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Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples

Apr 13, 2020
Maximilian Mozes, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

* pre-print 

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Prerequisites for Explainable Machine Reading Comprehension: A Position Paper

Apr 04, 2020
Saku Sugawara, Pontus Stenetorp, Akiko Aizawa


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Undersensitivity in Neural Reading Comprehension

Feb 15, 2020
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel

* 15 pages, 4 figures 

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Beat the AI: Investigating Adversarial Human Annotations for Reading Comprehension

Feb 02, 2020
Max Bartolo, Alastair Roberts, Johannes Welbl, Sebastian Riedel, Pontus Stenetorp

* 21 pages including appendices 

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Assessing the Benchmarking Capacity of Machine Reading Comprehension Datasets

Nov 21, 2019
Saku Sugawara, Pontus Stenetorp, Kentaro Inui, Akiko Aizawa

* 11 pages, AAAI2020, with extra examples, data: https://github.com/Alab-NII/mrc-ablation 

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RC-QED: Evaluating Natural Language Derivations in Multi-Hop Reading Comprehension

Oct 10, 2019
Naoya Inoue, Pontus Stenetorp, Kentaro Inui


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Towards Machine-assisted Meta-Studies: The Hubble Constant

Jan 31, 2019
Tom Crossland, Pontus Stenetorp, Sebastian Riedel, Daisuke Kawata, Thomas D. Kitching, Rupert A. C. Croft

* 13 pages, 6 figures. Submitted to Monthly Notices of the Royal Astronomical Society 

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On the Importance of Strong Baselines in Bayesian Deep Learning

Nov 30, 2018
Jishnu Mukhoti, Pontus Stenetorp, Yarin Gal

* Bayesian Deep Learning Workshop, NeurIPS 2018 

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Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data

Nov 28, 2018
Spiros Denaxas, Pontus Stenetorp, Sebastian Riedel, Maria Pikoula, Richard Dobson, Harry Hemingway

* Machine Learning for Health (ML4H) Workshop at NeurIPS 2018 arXiv:1811.07216 

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Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection

Sep 26, 2018
Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel

* Accepted as a short paper at EMNLP 2018 

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Convolutional 2D Knowledge Graph Embeddings

Jul 04, 2018
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

* Extended AAAI2018 paper 

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Jack the Reader - A Machine Reading Framework

Jun 20, 2018
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers, Isabelle Augenstein, Johannes Welbl, Tim Rocktäschel, Matko Bošnjak, Jeff Mitchell, Thomas Demeester, Pontus Stenetorp, Sebastian Riedel

* Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2018), System Demonstrations 

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Constructing Datasets for Multi-hop Reading Comprehension Across Documents

Jun 11, 2018
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel

* Transactions of the Association for Computational Linguistics (TACL), Vol 6 (2018), pages 287-302 
* This paper directly corresponds to the TACL version (https://transacl.org/ojs/index.php/tacl/article/view/1325) apart from minor changes in wording, additional footnotes, and appendices 

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Extrapolation in NLP

May 17, 2018
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel


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Neural Architectures for Fine-grained Entity Type Classification

Feb 21, 2017
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel

* 10 pages, 3 figures, accepted at EACL2017 conference 

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Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies

Dec 29, 2016
Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel


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Learning to Reason With Adaptive Computation

Nov 10, 2016
Mark Neumann, Pontus Stenetorp, Sebastian Riedel

* Presented at NIPS 2016 Workshop on Interpretable Machine Learning in Complex Systems 

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An Attentive Neural Architecture for Fine-grained Entity Type Classification

Apr 19, 2016
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel

* 6 pages, 2 figures 

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Leveraging Monolingual Data for Crosslingual Compositional Word Representations

Aug 22, 2015
Hubert Soyer, Pontus Stenetorp, Akiko Aizawa


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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification

Jun 22, 2015
Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka

* The Nineteenth Conference on Computational Natural Language Learning (CoNLL 2015) 

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