Edward Grefenstette

According to our database1, Edward Grefenstette authored at least 48 papers between 2011 and 2018.

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Bibliography

2018
The NarrativeQA Reading Comprehension Challenge.
TACL, 2018

Learning Explanatory Rules from Noisy Data.
J. Artif. Intell. Res., 2018

Learning to Follow Language Instructions with Adversarial Reward Induction.
CoRR, 2018

Can Neural Networks Understand Logical Entailment?
CoRR, 2018

Learning Explanatory Rules from Noisy Data (Extended Abstract).
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Teaching Artificial Agents to Understand Language by Modelling Reward.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
The NarrativeQA Reading Comprehension Challenge.
CoRR, 2017

Learning Explanatory Rules from Noisy Data.
CoRR, 2017

Discovering Discrete Latent Topics with Neural Variational Inference.
CoRR, 2017

Learning to Compute Word Embeddings On the Fly.
CoRR, 2017

Discovering Discrete Latent Topics with Neural Variational Inference.
Proceedings of the 34th International Conference on Machine Learning, 2017

Deep Learning for Semantic Composition.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Hybrid computing using a neural network with dynamic external memory.
Nature, 2016

The Neural Noisy Channel.
CoRR, 2016

Learning to Compose Words into Sentences with Reinforcement Learning.
CoRR, 2016

Latent Predictor Networks for Code Generation.
CoRR, 2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.
CoRR, 2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Latent Predictor Networks for Code Generation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Reasoning about Entailment with Neural Attention.
CoRR, 2015

Teaching Machines to Read and Comprehend.
CoRR, 2015

Learning to Transduce with Unbounded Memory.
CoRR, 2015

Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning.
Computational Linguistics, 2015

Teaching Machines to Read and Comprehend.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Learning to Transduce with Unbounded Memory.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
A Convolutional Neural Network for Modelling Sentences.
CoRR, 2014

A Deep Architecture for Semantic Parsing.
CoRR, 2014

Investigating the Role of Prior Disambiguation in Deep-learning Compositional Models of Meaning.
CoRR, 2014

A Convolutional Neural Network for Modelling Sentences.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

New Directions in Vector Space Models of Meaning.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Category-theoretic quantitative compositional distributional models of natural language semantics.
PhD thesis, 2013

A quantum teleportation inspired algorithm produces sentence meaning from word meaning and grammatical structure
CoRR, 2013

Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors
CoRR, 2013

Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus
CoRR, 2013

Multi-Step Regression Learning for Compositional Distributional Semantics
CoRR, 2013

"Not not bad" is not "bad": A distributional account of negation.
CoRR, 2013

Category-Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics.
CoRR, 2013

Lambek vs. Lambek: Functorial vector space semantics and string diagrams for Lambek calculus.
Ann. Pure Appl. Logic, 2013

Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Multi-Step Regression Learning for Compositional Distributional Semantics.
Proceedings of the 10th International Conference on Computational Semantics, 2013

"Not not bad" is not "bad": A distributional account of negation.
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

2011
Experimenting with Transitive Verbs in a DisCoCat
CoRR, 2011

Experimental Support for a Categorical Compositional Distributional Model of Meaning
CoRR, 2011

A Compositional Distributional Semantics, Two Concrete Constructions, and some Experimental Evaluations
CoRR, 2011

Concrete Sentence Spaces for Compositional Distributional Models of Meaning
CoRR, 2011

A Compositional Distributional Semantics, Two Concrete Constructions, and Some Experimental Evaluations.
Proceedings of the Quantum Interaction - 5th International Symposium, 2011

Concrete Sentence Spaces for Compositional Distributional Models of Meaning.
Proceedings of the Ninth International Conference on Computational Semantics, 2011

Experimental Support for a Categorical Compositional Distributional Model of Meaning.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011


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