Publications (56)
Solving linear parabolic rough partial differential equations
Christian Bayer, Denis Belomestny, Martin Redmann +2
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini, Sebastian Riedel
From rough path estimates to multilevel Monte Carlo
Christian Bayer, Peter K. Friz, Sebastian Riedel +1
Behavior Analysis of NLI Models: Uncovering the Influence of Three Factors on Robustness
Vicente Ivan Sanchez Carmona, Jeff Mitchell, Sebastian Riedel
Community Question Answering Platforms vs. Twitter for Predicting Characteristics of Urban Neighbourhoods
Marzieh Saeidi, Alessandro Venerandi, Licia Capra +1
Comparing Semi-Parametric Model Learning Algorithms for Dynamic Model Estimation in Robotics
Sebastian Riedel, Freek Stulp
Integrability of (non-)linear rough differential equations and integrals
Peter Friz, Sebastian Riedel
Extrapolation in NLP
Jeff Mitchell, Pasquale Minervini, Pontus Stenetorp +1
Interpretation of Natural Language Rules in Conversational Machine Reading
Marzieh Saeidi, Max Bartolo, Patrick Lewis +5
Complex Embeddings for Simple Link Prediction
Théo Trouillon, Johannes Welbl, Sebastian Riedel +2
A simple but tough-to-beat baseline for the Fake News Challenge stance detection task
Benjamin Riedel, Isabelle Augenstein, Georgios P. Spithourakis +1
Anytime Belief Propagation Using Sparse Domains
Sameer Singh, Sebastian Riedel, Andrew McCallum
SentiHood: Targeted Aspect Based Sentiment Analysis Dataset for Urban Neighbourhoods
Marzieh Saeidi, Guillaume Bouchard, Maria Liakata +1
End-to-End Differentiable Proving
Tim Rocktäschel, Sebastian Riedel
Application of Clinical Concept Embeddings for Heart Failure Prediction in UK EHR data
Spiros Denaxas, Pontus Stenetorp, Sebastian Riedel +3
Clinical Text Prediction with Numerically Grounded Conditional Language Models
Georgios P. Spithourakis, Steffen E. Petersen, Sebastian Riedel
Improving the Accuracy and Efficiency of MAP Inference for Markov Logic
Sebastian Riedel
Reduce, Reuse, Recycle: New uses for old QA resources
Jeff Mitchell, Sebastian Riedel
Learning Python Code Suggestion with a Sparse Pointer Network
Avishkar Bhoopchand, Tim Rocktäschel, Earl Barr +1
Lifted Rule Injection for Relation Embeddings
Thomas Demeester, Tim Rocktäschel, Sebastian Riedel
Learning to Reason With Adaptive Computation
Mark Neumann, Pontus Stenetorp, Sebastian Riedel
Frustratingly Short Attention Spans in Neural Language Modeling
MichaŠDaniluk, Tim Rocktäschel, Johannes Welbl +1
Convergence rates for the full Gaussian rough paths
Peter Friz, Sebastian Riedel
Random dynamical systems, rough paths and rough flows
Ismael Bailleul, Sebastian Riedel, Michael Scheutzow
Numerically Grounded Language Models for Semantic Error Correction
Georgios P. Spithourakis, Isabelle Augenstein, Sebastian Riedel
SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications
Isabelle Augenstein, Mrinal Das, Sebastian Riedel +2
Adversarial Sets for Regularising Neural Link Predictors
Pasquale Minervini, Thomas Demeester, Tim Rocktäschel +1
Rough differential equations with unbounded drift term
Sebastian Riedel, Michael Scheutzow
Towards Neural Theorem Proving at Scale
Pasquale Minervini, Matko Bosnjak, Tim Rocktäschel +1
A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins, Isabelle Augenstein, Sebastian Riedel
Convolutional 2D Knowledge Graph Embeddings
Tim Dettmers, Pasquale Minervini, Pontus Stenetorp +1
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl, Pontus Stenetorp, Sebastian Riedel
Neural Architectures for Fine-grained Entity Type Classification
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui +1
Inference by Minimizing Size, Divergence, or their Sum
Sebastian Riedel, David A. Smith, Andrew McCallum
An Attentive Neural Architecture for Fine-grained Entity Type Classification
Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui +1
Jack the Reader - A Machine Reading Framework
Dirk Weissenborn, Pasquale Minervini, Tim Dettmers +8
emoji2vec: Learning Emoji Representations from their Description
Ben Eisner, Tim Rocktäschel, Isabelle Augenstein +2
Extraction of evidence tables from abstracts of randomized clinical trials using a maximum entropy classifier and global constraints
Antonio Trenta, Anthony Hunter, Sebastian Riedel
Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection
Sudhanshu Kasewa, Pontus Stenetorp, Sebastian Riedel
Represent, Aggregate, and Constrain: A Novel Architecture for Machine Reading from Noisy Sources
Jason Naradowsky, Sebastian Riedel
Generating Natural Language Inference Chains
Vladyslav Kolesnyk, Tim Rocktäschel, Sebastian Riedel
Logical Rule Induction and Theory Learning Using Neural Theorem Proving
Andres Campero, Aldo Pareja, Tim Klinger +2
On the Variational Regularity of Cameron-Martin paths
Peter K. Friz, Benjamin Gess, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference
Hung Hai Bui, Tuyen N. Huynh, Sebastian Riedel
The Jain-Monrad criterion for rough paths and applications to random Fourier series and non-Markovian Hörmander theory
Peter K. Friz, Benjamin Gess, Archil Gulisashvili +1
A Levy-area between Brownian motion and rough paths with applications to robust non-linear filtering and RPDEs
Joscha Diehl, Harald Oberhauser, Sebastian Riedel
A simple proof of distance bounds for Gaussian rough paths
Sebastian Riedel, Weijun Xu
Knowledge Graph Completion via Complex Tensor Factorization
Théo Trouillon, Christopher R. Dance, Johannes Welbl +3
Deep Semi-Supervised Learning with Linguistically Motivated Sequence Labeling Task Hierarchies
Jonathan Godwin, Pontus Stenetorp, Sebastian Riedel
Spatial rough path lifts of stochastic convolutions
Peter K. Friz, Benjamin Gess, Archil Gulisashvili +1
Evaluating Rewards for Question Generation Models
Tom Hosking, Sebastian Riedel
Programming with a Differentiable Forth Interpreter
Matko Bošnjak, Tim Rocktäschel, Jason Naradowsky +1
Transportation-cost inequalities for diffusions driven by Gaussian processes
Sebastian Riedel
A Factorization Machine Framework for Testing Bigram Embeddings in Knowledgebase Completion
Johannes Welbl, Guillaume Bouchard, Sebastian Riedel
Automorphism Groups of Graphical Models and Lifted Variational Inference
Hung Bui, Tuyen Huynh, Sebastian Riedel
Latent Relation Representations for Universal Schemas
Sebastian Riedel, Limin Yao, Andrew McCallum