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• A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion
  2016
• Generating Natural Language Inference Chains
  2016
• Complex Embeddings for Simple Link Prediction
  2016
• Knowledge Graph Completion via Complex Tensor Factorization
  2017
• Convolutional 2D Knowledge Graph Embeddings
  2017
• Adversarial Sets for Regularising Neural Link Predictors
  2017
• Jack the Reader - A Machine Reading Framework
  2018
• Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings
  2019
• Differentiable Reasoning on Large Knowledge Bases and Natural Language
  2019
• KILT: a Benchmark for Knowledge Intensive Language Tasks
  2020
• Autoregressive Entity Retrieval
  2020
• Neural Databases
  2020
• Multilingual Autoregressive Entity Linking
  2021
• Training Adaptive Computation for Open-Domain Question Answering with Computational Constraints
  2021
• Challenges in Generalization in Open Domain Question Answering
  2021