Pasquale Minervini

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 116

Top Venues

Publications

Emile van Krieken, Pasquale Minervini, Edoardo M. Ponti, Antonio Vergari
On the Independence Assumption in Neurosymbolic Learning. CoRR (2024)
Hetong Wang, Pasquale Minervini, Edoardo M. Ponti
Probing the Emergence of Cross-lingual Alignment during LLM Training. ACL (Findings) (2024)
Gayane Ghazaryan, Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages. CoRR (2024)
Hetong Wang, Pasquale Minervini, Edoardo M. Ponti
Probing the Emergence of Cross-lingual Alignment during LLM Training. CoRR (2024)
Mattia Setzu, Marta Marchiori Manerba, Pasquale Minervini, Debora Nozza
FairBelief - Assessing Harmful Beliefs in Language Models. CoRR (2024)
Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini
Analysing The Impact of Sequence Composition on Language Model Pre-Training. CoRR (2024)
Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. ACL (1) (2024)
Jordi Armengol-Estapé, Rodrigo C. O. Rocha, Jackson Woodruff, Pasquale Minervini, Michael F. P. O'Boyle
Forklift: An Extensible Neural Lifter. CoRR (2024)
Alessio Devoto, Yu Zhao, Simone Scardapane, Pasquale Minervini
Norm-Based Strategy for KV Cache Compression. CoRR (2024)
Georgy Tyukin, Gbètondji J.-S. Dovonon, Jean Kaddour, Pasquale Minervini
Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models. CoRR (2024)
Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci, Pasquale Minervini, Jary Pomponi
Conditional computation in neural networks: principles and research trends. CoRR (2024)
Aryo Pradipta Gema, Chaeeun Lee, Pasquale Minervini, Luke Daines, T. Ian Simpson, Beatrice Alex
Edinburgh Clinical NLP at MEDIQA-CORR 2024: Guiding Large Language Models with Hints. CoRR (2024)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
Using Natural Language Explanations to Improve Robustness of In-context Learning. ACL (1) (2024)
Rustam Abdumalikov, Pasquale Minervini, Yova Kementchedjhieva
Answerability in Retrieval-Augmented Open-Domain Question Answering. CoRR (2024)
Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn
Transferring Troubles: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning. CoRR (2024)
Yu Zhao, Yuanbin Qu, Konrad Staniszewski, Szymon Tworkowski, Wei Liu, Piotr Milos, Yuxiang Wu, Pasquale Minervini
Analysing The Impact of Sequence Composition on Language Model Pre-Training. ACL (1) (2024)
Simon Chi Lok U, Jie He, Pasquale Minervini, Jeff Z. Pan
Evaluating the Adversarial Robustness of Retrieval-Based In-Context Learning for Large Language Models. CoRR (2024)
Burcu Sayin, Pasquale Minervini, Jacopo Staiano, Andrea Passerini
Can LLMs Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain. CoRR (2024)
Aryo Pradipta Gema, Joshua Ong Jun Leang, Giwon Hong, Alessio Devoto, Alberto Carlo Maria Mancino, Rohit Saxena, Xuanli He, Yu Zhao, Xiaotang Du, Mohammad Reza Ghasemi Madani, Claire Barale, Robert McHardy, Joshua Harris, Jean Kaddour, Emile van Krieken, Pasquale Minervini
Are We Done with MMLU? CoRR (2024)
Giwon Hong, Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du, Ping Nie, Yu Zhao, Laura Perez-Beltrachini, Max Ryabinin, Xuanli He, Clémentine Fourrier, Pasquale Minervini
The Hallucinations Leaderboard - An Open Effort to Measure Hallucinations in Large Language Models. CoRR (2024)
Aryo Pradipta Gema, Giwon Hong, Pasquale Minervini, Luke Daines, Beatrice Alex
Edinburgh Clinical NLP at SemEval-2024 Task 2: Fine-tune your model unless you have access to GPT-4. CoRR (2024)
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun, Kevin K. Nejad, Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen, Valentina Borghesani, Anton Pashkov, Daniele Marinazzo, Jonathan Nicholas, Alessandro Salatiello, Ilia Sucholutsky, Pasquale Minervini, Sepehr Razavi, Roberta Rocca, Elkhan Yusifov, Tereza Okalova, Nianlong Gu, Martin Ferianc, Mikail Khona, Kaustubh R. Patil, Pui-Shee Lee, Rui Mata, Nicholas E. Myers, Jennifer K. Bizley, Sebastian Musslick, Isil Poyraz Bilgin, Guiomar Niso, Justin M. Ales, Michael Gaebler, N. Apurva Ratan Murty, Leyla Loued-Khenissi, Anna Behler, Chloe M. Hall, Jessica Dafflon, Sherry Dongqi Bao, Bradley C. Love
Large language models surpass human experts in predicting neuroscience results. CoRR (2024)
Aryo Pradipta Gema, Luke Daines, Pasquale Minervini, Beatrice Alex
Parameter-Efficient Fine-Tuning of LLaMA for the Clinical Domain. CoRR (2023)
Jesus Solano, Oana-Maria Camburu, Pasquale Minervini
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. CoRR (2023)
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. AAAI (2023)
Medina Andresel, Trung-Kien Tran, Csaba Domokos, Pasquale Minervini, Daria Stepanova
Combining Inductive and Deductive Reasoning for Query Answering over Incomplete Knowledge Graphs. CIKM (2023)
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation For Efficient Inference. CoRR (2023)
Aryo Pradipta Gema, Dominik Grabarczyk, Wolf De Wulf, Piyush Borole, Javier Antonio Alfaro, Pasquale Minervini, Antonio Vergari, Ajitha Rajan
Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks. CoRR (2023)
Erik Arakelyan, Pasquale Minervini, Daniel Daza, Michael Cochez, Isabelle Augenstein
Adapting Neural Link Predictors for Data-Efficient Complex Query Answering. NeurIPS (2023)
Michael Cochez, Dimitrios Alivanistos, Erik Arakelyan, Max Berrendorf, Daniel Daza, Mikhail Galkin, Pasquale Minervini, Mathias Niepert, Hongyu Ren
Approximate Answering of Graph Queries. CoRR (2023)
Mohan Timilsina, Samuele Buosi, Adrianna Janik, Pasquale Minervini, Luca Costabello, Maria Torrente, Mariano Provencio, Virginia Calvo, Carlos Camps, Ana L. Ortega, Bartomeu Massutí, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Vít Novácek
Machine Learning Survival Models for Relapse Prediction in a Early Stage Lung Cancer Patient. IJCNN (2023)
Mohammad Reza Ghasemi Madani, Pasquale Minervini
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. CoRR (2023)
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models. NeurIPS (2023)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. CoRR (2023)
Han Zhou, Ignacio Iacobacci, Pasquale Minervini
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. EACL (Findings) (2023)
Erik Arakelyan, Pasquale Minervini, Isabelle Augenstein
Adapting Neural Link Predictors for Complex Query Answering. CoRR (2023)
Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J. Kusner
No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models. CoRR (2023)
Mohammad Reza Ghasemi Madani, Pasquale Minervini
REFER: An End-to-end Rationale Extraction Framework for Explanation Regularization. CoNLL (2023)
Manuel Dileo, Pasquale Minervini, Matteo Zignani, Sabrina Gaito
Temporal Smoothness Regularisers for Neural Link Predictors. CoRR (2023)
Mohan Timilsina, Dirk Fey, Samuele Buosi, Adrianna Janik, Luca Costabello, Enric Carcereny, Delvys Rodriguez Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Pasquale Minervini, Maria Torrente, Mariano Provencio, Vít Novácek
Synergy between imputed genetic pathway and clinical information for predicting recurrence in early stage non-small cell lung cancer. J. Biomed. Informatics 144 (2023)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms. CoRR (2023)
Pasquale Minervini, Erik Arakelyan, Daniel Daza, Michael Cochez
Complex Query Answering with Neural Link Predictors (Extended Abstract). IJCAI (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. CoRR (2022)
Matthew Morris, Pasquale Minervini, Phil Blunsom
Learning Proof Path Selection Policies in Neural Theorem Proving. NeSy (2022)
Yuxiang Wu, Yu Zhao, Baotian Hu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks. EMNLP (2022)
Adrianna Janik, Maria Torrente, Luca Costabello, Virginia Calvo, Brian Walsh, Carlos Camps, Sameh K. Mohamed, Ana L. Ortega, Vít Novácek, Bartomeu Massutí, Pasquale Minervini, M. Rosario Garcia Campelo, Edel del Barco, Joaquim Bosch-Barrera, Ernestina Menasalvas, Mohan Timilsina, Mariano Provencio
Machine Learning-Assisted Recurrence Prediction for Early-Stage Non-Small-Cell Lung Cancer Patients. CoRR (2022)
Wanshui Li, Pasquale Minervini
Differentiable Reasoning over Long Stories - Assessing Systematic Generalisation in Neural Models. CoRR (2022)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. NeurIPS (2022)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models. CoRR (2022)
Mohan Timilsina, Samuele Bousi, Dirk Fey, Adrianna Janik, Maria Torrente, Mariano Provencio, Alberto Bermúdez, Enric Carcereny, Luca Costabello, Delvys Abreu, Manuel Cobo, Rafael Castro, Reyes Bernabé, Maria Guirado, Pasquale Minervini, Vít Novácek
Integration of Clinical Information and Imputed Aneuploidy Scores to Enhance Relapse Prediction in Early Stage Lung Cancer Patients. AMIA (2022)
Saadullah Amin, Pasquale Minervini, David Chang, Pontus Stenetorp, Guenter Neumann
MedDistant19: Towards an Accurate Benchmark for Broad-Coverage Biomedical Relation Extraction. COLING (2022)
Saadullah Amin, Pasquale Minervini, David Chang, Günter Neumann, Pontus Stenetorp
MedDistant19: A Challenging Benchmark for Distantly Supervised Biomedical Relation Extraction. CoRR (2022)
Andrew J. Wren, Pasquale Minervini, Luca Franceschi, Valentina Zantedeschi
Learning Discrete Directed Acyclic Graphs via Backpropagation. CoRR (2022)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models. EMNLP (2022)
Pasquale Minervini, Luca Franceschi, Mathias Niepert
Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models. CoRR (2022)
Yihong Chen, Pushkar Mishra, Luca Franceschi, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
ReFactorGNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective. CoRR (2022)
Han Zhou, Ignacio Iacobacci, Pasquale Minervini
XQA-DST: Multi-Domain and Multi-Lingual Dialogue State Tracking. CoRR (2022)
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. EACL (2021)
Sameh K. Mohamed, Brian Walsh, Mohan Timilsina, Vít Novácek, Maria Torrente, Fabio Franco, Mariano Provencio, Adrianna Janik, Luca Costabello, Pontus Stenetorp, Pasquale Minervini
On Predicting Recurrence in Early Stage Non-small Cell Lung Cancer. AMIA (2021)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR (2021)
Mattia Setzu, Anna Monreale, Pasquale Minervini
TRIPLEx: Triple Extraction for Explanation. CogMI (2021)
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
Complex Query Answering with Neural Link Predictors. ICLR (2021)
Daniel de Vassimon Manela, David Errington, Thomas Fisher, Boris van Breugel, Pasquale Minervini
Stereotype and Skew: Quantifying Gender Bias in Pre-trained and Fine-tuned Language Models. CoRR (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. CoRR (2021)
Mathias Niepert, Pasquale Minervini, Luca Franceschi
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. CoRR (2021)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. AAMAS (2021)
Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy
First Workshop on Knowledge Injection in Neural Networks (KINN). CIKM (2021)
Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9 (2021)
Zhengyao Jiang, Pasquale Minervini, Minqi Jiang, Tim Rocktäschel
Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning. CoRR (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. CoRR (2021)
Mathias Niepert, Pasquale Minervini, Luca Franceschi
Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions. NeurIPS (2021)
Agnieszka Dobrowolska, Antonio Vergari, Pasquale Minervini
Neural Concept Formation in Knowledge Graphs. AKBC (2021)
Sewon Min, Jordan L. 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 S. H. 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 Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR (2021)
Yihong Chen, Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp
Relation Prediction as an Auxiliary Training Objective for Improving Multi-Relational Graph Representations. AKBC (2021)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints. ACL/IJCNLP (2) (2021)
Jatin Chauhan, Priyanshu Gupta, Pasquale Minervini
A Probabilistic Framework for Knowledge Graph Data Augmentation. CoRR (2021)
Patrick Betz, Mathias Niepert, Pasquale Minervini, Heiner Stuckenschmidt
Backpropagating through Markov Logic Networks. NeSy (2021)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. ICML (2020)
Minqi Jiang, Jelena Luketina, Nantas Nardelli, Pasquale Minervini, Philip H. S. Torr, Shimon Whiteson, Tim Rocktäschel
WordCraft: An Environment for Benchmarking Commonsense Agents. CoRR (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much into It: Adaptive Computation for Open-Domain Question Answering. CoRR (2020)
Federico Bianchi, Gaetano Rossiello, Luca Costabello, Matteo Palmonari, Pasquale Minervini
Knowledge Graph Embeddings and Explainable AI. CoRR (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. CoRR (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. EMNLP (1) (2020)
Sewon Min, Jordan L. 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 S. H. 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 Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) (2020)
Erik Arakelyan, Daniel Daza, Pasquale Minervini, Michael Cochez
Complex Query Answering with Neural Link Predictors. CoRR (2020)
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
Differentiable Reasoning on Large Knowledge Bases and Natural Language. AAAI (2020)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktäschel
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. CoRR (2020)
Yuxiang Wu, Sebastian Riedel, Pasquale Minervini, Pontus Stenetorp
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. EMNLP (1) (2020)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL (2020)
Pasquale Minervini, Sebastian Riedel, Pontus Stenetorp, Edward Grefenstette, Tim Rocktäschel
Learning Reasoning Strategies in End-to-End Differentiable Proving. CoRR (2020)
Yuxiang Wu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Don't Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering. SustaiNLP@EMNLP (2020)
Johannes Welbl, Pasquale Minervini, Max Bartolo, Pontus Stenetorp, Sebastian Riedel
Undersensitivity in Neural Reading Comprehension. EMNLP (Findings) (2020)
Alexander Imani Cowen-Rivers, Pasquale Minervini, Tim Rocktäschel, Matko Bosnjak, Sebastian Riedel, Jun Wang
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings. CoRR (2019)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR (2019)
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. ACL (1) (2019)
Emir Muñoz, Pasquale Minervini, Matthias Nickles
Embedding cardinality constraints in neural link predictors. SAC (2019)
Leon Weber, Pasquale Minervini, Jannes Münchmeyer, Ulf Leser, Tim Rocktäschel
NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language. CoRR (2019)
Alexander I. Cowen-Rivers, Pasquale Minervini, Sebastian Riedel, Tim Rocktäschel, Jun Wang, Matko Bosnjak
Neural Variational Inference For Estimating Knowledge Graph Embedding Uncertainty. NeSy@IJCAI (2019)
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel, Sebastian Riedel, Edward Grefenstette
Differentiable Reasoning on Large Knowledge Bases and Natural Language. CoRR (2019)
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel
Convolutional 2D Knowledge Graph Embeddings. AAAI (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pasquale Minervini