Pasquale Minervini

According to our database1, Pasquale Minervini authored at least 39 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

Knowledge Graph Embeddings and Explainable AI.
Proceedings of the Knowledge Graphs for eXplainable Artificial Intelligence: Foundations, 2020

WordCraft: An Environment for Benchmarking Commonsense Agents.
CoRR, 2020

Learning Reasoning Strategies in End-to-End Differentiable Proving.
CoRR, 2020

Knowledge Graph Embeddings and Explainable AI.
CoRR, 2020

There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
CoRR, 2020

Undersensitivity in Neural Reading Comprehension.
CoRR, 2020

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Differentiable Reasoning on Large Knowledge Bases and Natural Language.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings.
CoRR, 2019

Embedding cardinality constraints in neural link predictors.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Adaptive Knowledge Propagation in Web Ontologies.
ACM Trans. Web, 2018

Towards Neural Theorem Proving at Scale.
CoRR, 2018

Extrapolation in NLP.
CoRR, 2018

Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Convolutional 2D Knowledge Graph Embeddings.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Adversarial Sets for Regularising Neural Link Predictors.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2016
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies.
J. Data Semant., 2016

Efficient energy-based embedding models for link prediction in knowledge graphs.
J. Intell. Inf. Syst., 2016

Leveraging the schema in latent factor models for knowledge graph completion.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Hybrid Method for Rating Prediction Using Linked Data Features and Text Reviews.
Proceedings of the Joint Proceedings of the 5th Workshop on Data Mining and Knowledge Discovery meets Linked Open Data and the 1st International Workshop on Completing and Debugging the Semantic Web (Know@LOD-2016, 2016

2015
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs.
Proceedings of the 11th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2015) co-located with the 14th International Semantic Web Conference (ISWC 2015), 2015

Scalable Learning of Entity and Predicate Embeddings for Knowledge Graph Completion.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

2014
Learning to Propagate Knowledge in Web Ontologies.
Proceedings of the 10th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2014) co-located with the 13th International Semantic Web Conference (ISWC 2014), 2014

Graph-Based Regularization for Transductive Class-Membership Prediction.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

Learning Probabilistic Description Logic Concepts Under Alternative Assumptions on Incompleteness.
Proceedings of the Uncertainty Reasoning for the Semantic Web III, 2014

A Gaussian Process Model for Knowledge Propagation in Web Ontologies.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Adaptive Knowledge Propagation in Web Ontologies.
Proceedings of the Knowledge Engineering and Knowledge Management, 2014

2013
Rank prediction for semantically annotated resources.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Transductive Inference for Class-Membership Propagation in Web Ontologies.
Proceedings of the Semantic Web: Semantics and Big Data, 10th International Conference, 2013

2012
Numeric Prediction on OWL Knowledge Bases through Terminological Regression Trees.
Int. J. Semantic Comput., 2012

A Graph Regularization Based Approach to Transductive Class-Membership Prediction.
Proceedings of the 8th International Workshop on Uncertainty Reasoning for the Semantic Web, 2012

Learning probabilistic Description logic concepts: under different Assumptions on missing knowledge.
Proceedings of the ACM Symposium on Applied Computing, 2012

Learning Terminological Bayesian Classifiers - A Comparison of Alternative Approaches to Dealing with Unknown Concept-Memberships.
Proceedings of the 9th Italian Convention on Computational Logic, 2012

2011
Learning Terminological Naive Bayesian Classifiers under Different Assumptions on Missing Knowledge.
Proceedings of the 7th International Workshop on Uncertainty Reasoning for the Semantic Web (URSW 2011), 2011

2010
Can Real-Time Machine Translation Overcome Language Barriers in Distributed Requirements Engineering?
Proceedings of the 5th IEEE International Conference on Global Software Engineering, 2010


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