Pasquale Minervini
Title
Cited by
Cited by
Year
Convolutional 2d knowledge graph embeddings
T Dettmers, P Minervini, P Stenetorp, S Riedel
AAAI 2017, 2017
5162017
Adversarial sets for regularising neural link predictors
P Minervini, T Demeester, T Rocktäschel, S Riedel
UAI 2017, 2017
652017
Adversarially regularising neural nli models to integrate logical background knowledge
P Minervini, S Riedel
CoNLL 2018, 2018
412018
Regularizing knowledge graph embeddings via equivalence and inversion axioms
P Minervini, L Costabello, E Muñoz, V Nováček, PY Vandenbussche
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
312017
Towards neural theorem proving at scale
P Minervini, M Bosnjak, T Rocktäschel, S Riedel
arXiv preprint arXiv:1807.08204, 2018
222018
Can real-time machine translation overcome language barriers in distributed requirements engineering?
F Calefato, F Lanubile, P Minervini
2010 5th IEEE International Conference on Global Software Engineering, 257-264, 2010
202010
Differentiable Reasoning on Large Knowledge Bases and Natural Language.
P Minervini, M Bosnjak, T Rocktäschel, S Riedel, E Grefenstette
AAAI 2020 (Oral), 125-142, 2020
192020
Nlprolog: Reasoning with weak unification for question answering in natural language
L Weber, P Minervini, J Münchmeyer, U Leser, T Rocktäschel
ACL 2019, 2019
182019
Scalable learning of entity and predicate embeddings for knowledge graph completion
P Minervini, N Fanizzi, C d'Amato, F Esposito
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
142015
Extrapolation in NLP
J Mitchell, P Minervini, P Stenetorp, S Riedel
arXiv preprint arXiv:1805.06648, 2018
122018
Leveraging the schema in latent factor models for knowledge graph completion
P Minervini, C d'Amato, N Fanizzi, F Esposito
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 327-332, 2016
112016
Efficient energy-based embedding models for link prediction in knowledge graphs
P Minervini, C d’Amato, N Fanizzi
Journal of Intelligent Information Systems 47 (1), 91-109, 2016
92016
Adaptive knowledge propagation in web ontologies
P Minervini, V Tresp, C D'amato, N Fanizzi
ACM Transactions on the Web (TWEB) 12 (1), 1-28, 2017
82017
Numeric prediction on OWL knowledge bases through terminological regression trees
N Fanizzi, C d'Amato, F Esposito, P Minervini
International Journal of Semantic Computing 6 (04), 429-446, 2012
82012
Learning probabilistic description logic concepts: Under different assumptions on missing knowledge
P Minervini, C d'Amato, N Fanizzi
Proceedings of the 27th Annual ACM Symposium on Applied Computing, 378-383, 2012
82012
Knowledge Graph Embeddings and Explainable AI
F Bianchi, G Rossiello, L Costabello, M Palmonari, P Minervini
IOS Press, 2020
72020
Apertium goes SOA: an efficient and scalable service based on the Apertium rule-based machine translation platform
P Minervini
Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos, 2009
72009
Jack the reader-A machine reading framework
D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ...
arXiv preprint arXiv:1806.08727, 2018
62018
Discovering similarity and dissimilarity relations for knowledge propagation in web ontologies
P Minervini, C d’Amato, N Fanizzi, V Tresp
Journal on Data Semantics 5 (4), 229-248, 2016
62016
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
OM Camburu, B Shillingford, P Minervini, T Lukasiewicz, P Blunsom
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
5*2020
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Articles 1–20