134 citations · 459 across the 41 of their papers we have counts for
5 papers · 1 filter
Embedding Cardinality Constraints in Neural Link Predictors
Emir Muñoz, Pasquale Minervini, Matthias Nickles
Neural link predictors learn distributed representations of entities and relations in a knowledge graph. They are remarkably powerful in the link prediction and knowledge base comp…
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini, Sebastian Riedel
Adversarial examples are inputs to machine learning models designed to cause the model to make a mistake. They are useful for understanding the shortcomings of machine learning mod…
Towards Neural Theorem Proving at Scale
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel +1
Neural models combining representation learning and reasoning in an end-to-end trainable manner are receiving increasing interest. However, their use is severely limited by their c…
Jack the Reader - A Machine Reading Framework
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers +8
Many Machine Reading and Natural Language Understanding tasks require reading supporting text in order to answer questions. For example, in Question Answering, the supporting text…
Extrapolation in NLP
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp +1
We argue that extrapolation to examples outside the training space will often be easier for models that capture global structures, rather than just maximise their local fit to the…