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Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints

Jul 05, 2021
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel

* 7 pages, 1 figure, to be published in ACL-IJCNLP 2021 

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Controllable Abstractive Dialogue Summarization with Sketch Supervision

Jun 03, 2021
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong

* ACL-Findings 2021. Code is released at 

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Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Apr 18, 2021
Yao Lu, Max Bartolo, Alastair Moore, Sebastian Riedel, Pontus Stenetorp

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Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Apr 18, 2021
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela

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Dynabench: Rethinking Benchmarking in NLP

Apr 07, 2021
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

* NAACL 2021 

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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them

Feb 13, 2021
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich K├╝ttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel

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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned

Jan 01, 2021
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick Lewis, Yuxiang Wu, Heinrich K├╝ttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

* 26 pages 

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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 Rockt├Ąschel

* 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: 

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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 Rockt├Ąschel, Matko Bo┼ínjak, 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 ( 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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