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Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models

Feb 16, 2021
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini

* Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL 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 KĂĽttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel

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Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning

Feb 08, 2021
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktaschel

* Accepted by AAMAS 2021 

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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 KĂĽttler, 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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Complex Query Answering with Neural Link Predictors

Nov 06, 2020
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez

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WordCraft: An Environment for Benchmarking Commonsense Agents

Jul 17, 2020
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel

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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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Knowledge Graph Embeddings and Explainable AI

Apr 30, 2020
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini

* Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Plamonari, Pasquale Minervini, Knowledge Graph Embeddings and Explainable AI. In: Ilaria Tiddi, Freddy Lecue, Pascal Hitzler (eds.), Knowledge Graphs for eXplainable AI -- Foundations, Applications and Challenges. Studies on the Semantic Web, IOS Press, Amsterdam, 2020 

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There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

Apr 27, 2020
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel

* 8 pages 

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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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Differentiable Reasoning on Large Knowledge Bases and Natural Language

Dec 17, 2019
Pasquale Minervini, Matko Bošnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette

* Accepted at the 34th AAAI Conference on Artificial Intelligence (AAAI-20) 

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Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations

Oct 09, 2019
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom

* NeurIPS 2019 Workshop on Safety and Robustness in Decision Making, Vancouver, Canada 

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NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

Jun 14, 2019
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel

* ACL 2019 

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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings

Jun 12, 2019
Alexander I. Cowen-Rivers, Pasquale Minervini, Tim Rocktaschel, Matko Bovsnjak, Sebastian Riedel, Jun Wang

* Accepted at IJCAI 19 Neural-Symbolic Learning and Reasoning Workshop 

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Embedding Cardinality Constraints in Neural Link Predictors

Dec 16, 2018
Emir Muñoz, Pasquale Minervini, Matthias Nickles

* 8 pages, accepted at the 34th ACM/SIGAPP Symposium on Applied Computing (SAC '19) 

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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge

Aug 26, 2018
Pasquale Minervini, Sebastian Riedel

* Accepted at the SIGNLL Conference on Computational Natural Language Learning (CoNLL 2018) 

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Towards Neural Theorem Proving at Scale

Jul 21, 2018
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel

* Federated Artificial Intelligence Meeting (FAIM) Workshop on Neural Abstract Machines & Program Induction v2 

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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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Extrapolation in NLP

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

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Adversarial Sets for Regularising Neural Link Predictors

Jul 24, 2017
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel, Sebastian Riedel

* Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI), 2017 

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