Tim Rocktäschel

According to our database1, Tim Rocktäschel authored at least 55 papers between 2012 and 2019.

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Bibliography

2019
Language Models as Knowledge Bases?
CoRR, 2019

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
CoRR, 2019

Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings.
CoRR, 2019

A Survey of Reinforcement Learning Informed by Natural Language.
CoRR, 2019

Learning to Speak and Act in a Fantasy Text Adventure Game.
CoRR, 2019

A Survey of Reinforcement Learning Informed by Natural Language.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Baseline for Any Order Gradient Estimation in Stochastic Computation Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019

Stable Opponent Shaping in Differentiable Games.
Proceedings of the 7th International Conference on Learning Representations, 2019

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Combining representation learning with logic for language processing.
PhD thesis, 2018

e-SNLI: Natural Language Inference with Natural Language Explanations.
CoRR, 2018

Stable Opponent Shaping in Differentiable Games.
CoRR, 2018

Interpretation of Natural Language Rules in Conversational Machine Reading.
CoRR, 2018

Towards Neural Theorem Proving at Scale.
CoRR, 2018

Jack the Reader - A Machine Reading Framework.
CoRR, 2018

DiCE: The Infinitely Differentiable Monte-Carlo Estimator.
CoRR, 2018

e-SNLI: Natural Language Inference with Natural Language Explanations.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DiCE: The Infinitely Differentiable Monte Carlo Estimator.
Proceedings of the 35th International Conference on Machine Learning, 2018

TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

Interpretation of Natural Language Rules in Conversational Machine Reading.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Jack the Reader - A Machine Reading Framework.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

2017
Combining Representation Learning with Logic for Language Processing.
CoRR, 2017

TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning.
CoRR, 2017

End-to-end Differentiable Proving.
CoRR, 2017

Adversarial Sets for Regularising Neural Link Predictors.
CoRR, 2017

Frustratingly Short Attention Spans in Neural Language Modeling.
CoRR, 2017

Adversarial Sets for Regularising Neural Link Predictors.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

End-to-end Differentiable Proving.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Programming with a Differentiable Forth Interpreter.
Proceedings of the 34th International Conference on Machine Learning, 2017

Frustratingly Short Attention Spans in Neural Language Modeling.
Proceedings of the 5th International Conference on Learning Representations, 2017

2016
MuFuRU: The Multi-Function Recurrent Unit.
CoRR, 2016

Reasoning about Entailment with Neural Attention.
Proceedings of the 4th International Conference on Learning Representations, 2016

Programming with a Differentiable Forth Interpreter.
CoRR, 2016

Generating Natural Language Inference Chains.
CoRR, 2016

emoji2vec: Learning Emoji Representations from their Description.
CoRR, 2016

Lifted Rule Injection for Relation Embeddings.
CoRR, 2016

Learning Python Code Suggestion with a Sparse Pointer Network.
CoRR, 2016

Stance Detection with Bidirectional Conditional Encoding.
CoRR, 2016

SETH detects and normalizes genetic variants in text.
Bioinformatics, 2016

Lifted Rule Injection for Relation Embeddings.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Stance Detection with Bidirectional Conditional Encoding.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Learning Knowledge Base Inference with Neural Theorem Provers.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

Regularizing Relation Representations by First-order Implications.
Proceedings of the 5th Workshop on Automated Knowledge Base Construction, 2016

emoji2vec: Learning Emoji Representations from their Description.
Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015
The CHEMDNER corpus of chemicals and drugs and its annotation principles.
J. Cheminformatics, 2015

Towards Two-Way Interaction with Reading Machines.
Proceedings of the Statistical Language and Speech Processing, 2015

WOLFE: An NLP-friendly Declarative Machine Learning Stack.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Injecting Logical Background Knowledge into Embeddings for Relation Extraction.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction.
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, 2015

Matrix and Tensor Factorization Methods for Natural Language Processing.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Towards Extracting Faithful and Descriptive Representations of Latent Variable Models.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
WOLFE: Strength Reduction and Approximate Programming for Probabilistic Programming.
Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013
WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

2012
ChemSpot: a hybrid system for chemical named entity recognition.
Bioinformatics, 2012


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