Pasquale Minervini
TitleCited byYear
Convolutional 2d knowledge graph embeddings
T Dettmers, P Minervini, P Stenetorp, S Riedel
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
1812018
Adversarial sets for regularising neural link predictors
P Minervini, T Demeester, T Rocktäschel, S Riedel
arXiv preprint arXiv:1707.07596, 2017
352017
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
192010
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
132015
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
122017
Adversarially regularising neural nli models to integrate logical background knowledge
P Minervini, S Riedel
arXiv preprint arXiv:1808.08609, 2018
92018
Towards neural theorem proving at scale
P Minervini, M Bosnjak, T Rocktäschel, S Riedel
arXiv preprint arXiv:1807.08204, 2018
72018
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
72016
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
72016
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
72012
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
72012
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
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
Extrapolation in NLP
J Mitchell, P Minervini, P Stenetorp, S Riedel
arXiv preprint arXiv:1805.06648, 2018
52018
Adaptive knowledge propagation in web ontologies
P Minervini, V Tresp, C D'amato, N Fanizzi
ACM Transactions on the Web (TWEB) 12 (1), 2, 2018
52018
Efficient Learning of Entity and Predicate Embeddings for Link Prediction in Knowledge Graphs.
P Minervini, C d'Amato, N Fanizzi, F Esposito
URSW@ ISWC, 26-37, 2015
32015
A gaussian process model for knowledge propagation in web ontologies
P Minervini, N Fanizzi, F Esposito
2014 IEEE International Conference on Data Mining, 929-934, 2014
32014
Learning to Propagate Knowledge in Web Ontologies.
P Minervini, C d'Amato, N Fanizzi, V Tresp
URSW, 13-24, 2014
32014
Transductive inference for class-membership propagation in web ontologies
P Minervini, C d’Amato, N Fanizzi, F Esposito
Extended Semantic Web Conference, 457-471, 2013
32013
Jack the Reader-A Machine Reading Framework
D Weissenborn, P Minervini, T Dettmers, I Augenstein, J Welbl, ...
arXiv preprint arXiv:1806.08727, 2018
22018
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Articles 1–20