Pasquale Minervini

Most-cited papers

Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
2017AAAI Conference on Artificial Intelligence3,247 citations Open access
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PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them
Patrick Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini +4 more
2021Transactions of the Association for Computational Linguistics286 citations Open access
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Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad +35 more
2024Nature Human Behaviour213 citations Open access
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Complex Query Answering with Neural Link Predictors
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
2020International Conference on Learning Representations179 citations Open access
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Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini, Sebastian Riedel
2018Conference on Computational Natural Language Learning127 citations Open access
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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
Mathias Niepert, Pasquale Minervini, Luca Franceschi
2021Neural Information Processing Systems121 citations
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NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language
Leon Weber, Pasquale Minervini, Jannes Munchmeyer, U. Leser +1 more
2019Annual Meeting of the Association for Computational Linguistics110 citations Open access
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Learning Reasoning Strategies in End-to-End Differentiable Proving
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette +1 more
2020International Conference on Machine Learning108 citations
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Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz +1 more
2019Annual Meeting of the Association for Computational Linguistics107 citations Open access
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Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models
Daniel de Vassimon Manela, David Errington, Thomas Fisher, B. V. Breugel +1 more
2021Conference of the European Chapter of the Association for Computational Linguistics102 citations Open access
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Adversarial Sets for Regularising Neural Link Predictors
Pasquale Minervini, T. Demeester, Tim Rocktäschel, Sebastian Riedel
2017Conference on Uncertainty in Artificial Intelligence102 citations
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Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel +1 more
2019Knowledge Graphs for eXplainable Artificial Intelligence98 citations Open access
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Knowledge Graph Embeddings and Explainable AI
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari +1 more
2020Knowledge Graphs for eXplainable Artificial Intelligence90 citations Open access
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Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain
Aryo Pradipta Gema, Pasquale Minervini, Luke Daines, Tom Hope +1 more
2023Clinical Natural Language Processing Workshop79 citations Open access
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An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
Yu-Xiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini +2 more
2022Conference on Empirical Methods in Natural Language Processing70 citations Open access
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NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned
Sewon Min, Jordan Boyd-Graber, Chris Alberti, Danqi Chen +49 more
2021Neural Information Processing Systems69 citations
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No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini +1 more
2023Neural Information Processing Systems63 citations Open access
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Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
2021Conference on Automated Knowledge Base Construction63 citations
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Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms
Pasquale Minervini, Luca Costabello, Emir Muñoz, V. Nováček +1 more
2017ECML/PKDD60 citations Open access
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There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel +1 more
2020arXiv.org54 citations
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Towards Neural Theorem Proving at Scale
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel
2018arXiv.org45 citations
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Analysing The Impact of Sequence Composition on Language Model Pre-Training
Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski +4 more
2024Annual Meeting of the Association for Computational Linguistics33 citations Open access
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Knowledge graph embeddings in the biomedical domain: are they useful? A look at link prediction, rule learning, and downstream polypharmacy tasks
Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, P. Borole +4 more
2023Bioinformatics Advances32 citations Open access
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Adapting Neural Link Predictors for Data-Efficient Complex Query Answering
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez +1 more
2023Neural Information Processing Systems27 citations
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WordCraft: An Environment for Benchmarking Commonsense Agents
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini +3 more
2020arXiv.org26 citations
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Machine Learning–Assisted Recurrence Prediction for Patients With Early-Stage Non–Small-Cell Lung Cancer
Adrianna Janik, M. Torrente, Luca Costabello, V. Calvo +13 more
2023JCO Clinical Cancer Informatics25 citations Open access
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Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?
Fabio Calefato, F. Lanubile, Pasquale Minervini
20102010 5th IEEE International Conference on Global Software Engineering25 citations
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ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
Yihong Chen, Luca Franceschi, Pasquale Minervini, Pushkar Mishra +2 more
2022Neural Information Processing Systems24 citations Open access
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Atomic Inference for NLI with Generated Facts as Atoms
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu +1 more
2023Conference on Empirical Methods in Natural Language Processing23 citations Open access
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Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei
2022Conference on Empirical Methods in Natural Language Processing21 citations Open access
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Extrapolation in NLP
Jeff Mitchell, Pontus Stenetorp, Pasquale Minervini, Sebastian Riedel
2018Proceedings of the Workshop on Generalization in the Age of Deep Learning20 citations Open access
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Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion
Pasquale Minervini, N. Fanizzi, Claudia d’Amato, F. Esposito
2015International Conference on Machine Learning and Applications20 citations Open access
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Knowledge Graph Embeddings: Open Challenges and Opportunities
Pasquale Minervini
2023TGDK19 citations
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On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer
Sameh K. Mohamed, B. Walsh, Mohan Timilsina, V. Nováček +7 more
2021American Medical Informatics Association Annual Symposium19 citations
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Undersensitivity in Neural Reading Comprehension
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp +1 more
2020Findings19 citations Open access
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Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models
Pasquale Minervini, Luca Franceschi, Mathias Niepert
2022AAAI Conference on Artificial Intelligence17 citations Open access
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Jack the Reader – A Machine Reading Framework
Dirk Weissenborn, Pasquale Minervini, Isabelle Augenstein, Johannes Welbl +7 more
2018Annual Meeting of the Association for Computational Linguistics13 citations Open access
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Towards Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees
N. Fanizzi, Claudia d’Amato, F. Esposito, Pasquale Minervini
20122012 IEEE Sixth International Conference on Semantic Computing12 citations
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Leveraging the schema in latent factor models for knowledge graph completion
Pasquale Minervini, Claudia d’Amato, N. Fanizzi, F. Esposito
2016ACM Symposium on Applied Computing11 citations
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Efficient energy-based embedding models for link prediction in knowledge graphs
Pasquale Minervini, Claudia d’Amato, N. Fanizzi
2016Journal of Intelligence and Information Systems11 citations Open access
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Don’t Read Too Much into It: Adaptive Computation for Open-Domain Question Answering
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
2020Conference on Empirical Methods in Natural Language Processing10 citations Open access
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Learning to Propagate Knowledge in Web Ontologies
Pasquale Minervini, Claudia d’Amato, N. Fanizzi, Volker Tresp
2014Uncertainty Reasoning for the Semantic Web9 citations
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Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
2021Adaptive Agents and Multi-Agent Systems8 citations
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Gone at Last: Removing the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel +1 more
2020Conference on Empirical Methods in Natural Language Processing8 citations Open access
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Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge
Pasquale Minervini, Claudia d’Amato, N. Fanizzi
2012ACM Symposium on Applied Computing8 citations
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Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients
Adrianna Janik, M. Torrente, Luca Costabello, V. Calvo +13 more
2022arXiv.org7 citations Open access
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Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
A. I. Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak +2 more
2019arXiv.org7 citations
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Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs
Pasquale Minervini, Claudia d’Amato, N. Fanizzi, F. Esposito
2015URSW@ISWC7 citations
Semantic Scholar
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
Jesús Solano, M. Sanni, Oana-Maria Camburu, Pasquale Minervini
2023Annual Meeting of the Association for Computational Linguistics6 citations Open access
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Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer
Mohan Timilsina, D. Fey, Samuele Buosi, Adrianna Janik +10 more
2023Journal of Biomedical Informatics6 citations Open access
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