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Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks


Oct 06, 2021
Alan Jeffares, Qinghai Guo, Pontus Stenetorp, Timoleon Moraitis


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Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations


Oct 06, 2021
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp

* AKBC 2021 

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Contrasting Human- and Machine-Generated Word-Level Adversarial Examples for Text Classification


Sep 09, 2021
Maximilian Mozes, Max Bartolo, Pontus Stenetorp, Bennett Kleinberg, Lewis D. Griffin

* EMNLP 2021 

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Challenges in Generalization in Open Domain Question Answering


Sep 02, 2021
Linqing Liu, Patrick Lewis, Sebastian Riedel, Pontus Stenetorp


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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 https://github.com/salesforce/ConvSumm 

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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 Küttler, 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 Küttler, 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 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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