Phil Blunsom

According to our database1, Phil Blunsom authored at least 118 papers between 2004 and 2018.

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Bibliography

2018
The NarrativeQA Reading Comprehension Challenge.
TACL, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.
CoRR, 2018

Neural Arithmetic Logic Units.
CoRR, 2018

Encoding Spatial Relations from Natural Language.
CoRR, 2018

Pushing the bounds of dropout.
CoRR, 2018

Neural Syntactic Generative Models with Exact Marginalization.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042).
Dagstuhl Reports, 2017

The NarrativeQA Reading Comprehension Challenge.
CoRR, 2017

Understanding Grounded Language Learning Agents.
CoRR, 2017

Generative and Discriminative Text Classification with Recurrent Neural Networks.
CoRR, 2017

Latent Intention Dialogue Models.
CoRR, 2017

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

On the State of the Art of Evaluation in Neural Language Models.
CoRR, 2017

Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems.
CoRR, 2017

Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling.
CoRR, 2017

Grounded Language Learning in a Simulated 3D World.
CoRR, 2017

Robust Incremental Neural Semantic Graph Parsing.
CoRR, 2017

Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Latent Intention Dialogue Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

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

Reference-Aware Language Models.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Robust Incremental Neural Semantic Graph Parsing.
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

Online Segment to Segment Neural Transduction.
CoRR, 2016

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

Reference-Aware Language Models.
CoRR, 2016

Language as a Latent Variable: Discrete Generative Models for Sentence Compression.
CoRR, 2016

Latent Predictor Networks for Code Generation.
CoRR, 2016

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

Optimizing Performance of Recurrent Neural Networks on GPUs.
CoRR, 2016

Neural Variational Inference for Text Processing.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Segment to Segment Neural Transduction.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Language as a Latent Variable: Discrete Generative Models for Sentence Compression.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 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
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength.
IEEE Trans. Wireless Communications, 2015

Reasoning about Entailment with Neural Attention.
CoRR, 2015

Neural Variational Inference for Text Processing.
CoRR, 2015

Teaching Machines to Read and Comprehend.
CoRR, 2015

Learning to Transduce with Unbounded Memory.
CoRR, 2015

A Bayesian Model for Generative Transition-based Dependency Parsing.
CoRR, 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

Pragmatic Neural Language Modelling in Machine Translation.
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

Detection of Steganographic Techniques on Twitter.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Bayesian Model for Generative Transition-based Dependency Parsing.
Proceedings of the Third International Conference on Dependency Linguistics, 2015

Generative Incremental Dependency Parsing with Neural Networks.
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

2014
Tree Transduction Tools for cdec.
Prague Bull. Math. Linguistics, 2014

OxLM: A Neural Language Modelling Framework for Machine Translation.
Prague Bull. Math. Linguistics, 2014

A Fast and Simple Online Synchronous Context Free Grammar Extractor.
Prague Bull. Math. Linguistics, 2014

Deep Learning for Answer Sentence Selection.
CoRR, 2014

Bayesian Optimisation for Machine Translation.
CoRR, 2014

Deep Multi-Instance Transfer Learning.
CoRR, 2014

Learning Bilingual Word Representations by Marginalizing Alignments.
CoRR, 2014

A Convolutional Neural Network for Modelling Sentences.
CoRR, 2014

Multilingual Models for Compositional Distributed Semantics.
CoRR, 2014

A Deep Architecture for Semantic Parsing.
CoRR, 2014

Modelling the Lexicon in Unsupervised Part of Speech Induction.
CoRR, 2014

Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network.
CoRR, 2014

Compositional Morphology for Word Representations and Language Modelling.
CoRR, 2014

Pragmatic Neural Language Modelling in Machine Translation.
CoRR, 2014

Linguistic steganography on Twitter: hierarchical language modeling with manual interaction.
Proceedings of the Media Watermarking, 2014

Compositional Morphology for Word Representations and Language Modelling.
Proceedings of the 31th International Conference on Machine Learning, 2014

Dynamic Topic Adaptation for Phrase-based MT.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Modelling the Lexicon in Unsupervised Part of Speech Induction.
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Learning Bilingual Word Representations by Marginalizing Alignments.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

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

Multilingual Models for Compositional Distributed Semantics.
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
Recurrent Convolutional Neural Networks for Discourse Compositionality.
CoRR, 2013

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

A Simple Model for Learning Multilingual Compositional Semantics.
CoRR, 2013

Identification and mitigation of non-line-of-sight conditions using received signal strength.
Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

A Systematic Bayesian Treatment of the IBM Alignment Models.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

On Assessing the Accuracy of Positioning Systems in Indoor Environments.
Proceedings of the Wireless Sensor Networks - 10th European Conference, 2013

Recurrent Continuous Translation Models.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Adaptor Grammars for Learning Non-Concatenative Morphology.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Collapsed Variational Bayesian Inference for PCFGs.
Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Collapsed Variational Bayesian Inference for Hidden Markov Models.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Recurrent Convolutional Neural Networks for Discourse Compositionality.
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 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

The Role of Syntax in Vector Space Models of Compositional Semantics.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Learning Semantics and Selectional Preference of Adjective-Noun Pairs.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

An Unsupervised Ranking Model for Noun-Noun Compositionality.
Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Unsupervised Bayesian Part of Speech Inference with Particle Gibbs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

A Bayesian Model for Learning SCFGs with Discontiguous Rules.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

Bayesian Language Modelling of German Compounds.
Proceedings of the COLING 2012, 2012

2011
A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Metrics for MT evaluation: evaluating reordering.
Machine Translation, 2010

Monte Carlo techniques for phrase-based translation.
Machine Translation, 2010

Inducing Tree-Substitution Grammars.
Journal of Machine Learning Research, 2010

Inducing Synchronous Grammars with Slice Sampling.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models.
Proceedings of the ACL 2010, 2010

Blocked Inference in Bayesian Tree Substitution Grammars.
Proceedings of the ACL 2010, 2010

2009
Learning Machine Translation - Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (editors) The MIT Press, 2009, xii+316 pp; ISBN 978-0-262-07297-7
Computational Linguistics, 2009

A Quantitative Analysis of Reordering Phenomena.
Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

Inducing Compact but Accurate Tree-Substitution Grammars.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

A Bayesian Model of Syntax-Directed Tree to String Grammar Induction.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Monte Carlo inference and maximization for phrase-based translation.
Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

A Note on the Implementation of Hierarchical Dirichlet Processes.
Proceedings of the ACL 2009, 2009

A Gibbs Sampler for Phrasal Synchronous Grammar Induction.
Proceedings of the ACL 2009, 2009

2008
Bayesian Synchronous Grammar Induction.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Probabilistic Inference for Machine Translation.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

A Discriminative Latent Variable Model for Statistical Machine Translation.
Proceedings of the ACL 2008, 2008

2007
Structured classification for multilingual natural language processing.
PhD thesis, 2007

2006
Question classification with log-linear models.
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006

Multilingual Deep Lexical Acquisition for HPSGs via Supertagging.
Proceedings of the EMNLP 2006, 2006

Discriminative Word Alignment with Conditional Random Fields.
Proceedings of the ACL 2006, 2006

Die Morphologie (f): Targeted Lexical Acquisition for Languages other than English.
Proceedings of the Australasian Language Technology Workshop, 2006

2005
Semantic Role Labelling with Tree Conditional Random Fields.
Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

2004
Maximum Entropy Markov Models for Semantic Role Labelling.
Proceedings of the Australasian Language Technology Workshop, 2004


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