NLPExplorer

Phil Blunsom

Number of Papers:- 73

Number of Citations:- 1148

First ACL Paper:- 2004

Latest ACL Paper:- 2021

Venues:-

EMNLP

CoNLL

EACL

ALTA

TACL

NAACL

IJCNLP

WMT

DepLing

Findings

COLING

*SEMEVAL

ACL

Rep4NLP

LatentVar

Co-Authors:-

Similar Authors:-

Counterfactual Data Augmentation for Neural Machine Translation NAACL

Qi Liu | Matt Kusner | Phil Blunsom |

A Generative Framework for Simultaneous Machine Translation EMNLP

Yishu Miao | Phil Blunsom | Lucia Specia |

Pretraining the Noisy Channel Model for Task-Oriented Dialogue TACL

Qi Liu | Lei Yu | Laura Rimell | Phil Blunsom |

Learning to Segment Actions from Observation and Narration ACL

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL

Learning Robust and Multilingual Speech Representations EMNLP Findings

Better Document-Level Machine Translation with Bayes’ Rule TACL

The DeepMind Chinese–English Document Translation System at WMT2020 EMNLP WMT

Syntactic Structure Distillation Pretraining for Bidirectional Encoders TACL

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution EMNLP

Scalable Syntax-Aware Language Models Using Knowledge Distillation ACL

Learning to Discover, Ground and Use Words with Segmental Neural Language Models ACL

Kazuya Kawakami | Chris Dyer | Phil Blunsom |

Neural Syntactic Generative Models with Exact Marginalization NAACL

Jan Buys | Phil Blunsom |

LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better ACL

The NarrativeQA Reading Comprehension Challenge TACL

Reference-Aware Language Models EMNLP

Zichao Yang | Phil Blunsom | Chris Dyer | Wang Ling |

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

Mirella Lapata | Phil Blunsom | Alexander Koller |

Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ACL

Wang Ling | Dani Yogatama | Chris Dyer | Phil Blunsom |

Robust Incremental Neural Semantic Graph Parsing ACL

Jan Buys | Phil Blunsom |

Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling ACL

Kazuya Kawakami | Chris Dyer | Phil Blunsom |

Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention *SEMEVAL

Jan Buys | Phil Blunsom |

Proceedings of the 2nd Workshop on Representation Learning for NLP Rep4NLP WS

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

Mirella Lapata | Phil Blunsom | Alexander Koller |

Language as a Latent Variable: Discrete Generative Models for Sentence Compression EMNLP

Yishu Miao | Phil Blunsom |

Semantic Parsing with Semi-Supervised Sequential Autoencoders EMNLP

Online Segment to Segment Neural Transduction EMNLP

Lei Yu | Jan Buys | Phil Blunsom |

Latent Predictor Networks for Code Generation ACL

Proceedings of the 1st Workshop on Representation Learning for NLP Rep4NLP WS

Detection of Steganographic Techniques on Twitter EMNLP

Alex Wilson | Phil Blunsom | Andrew Ker |

Pragmatic Neural Language Modelling in Machine Translation NAACL

Paul Baltescu | Phil Blunsom |

Generative Incremental Dependency Parsing with Neural Networks ACL IJCNLP

Jan Buys | Phil Blunsom |

Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing LatentVar WS

Phil Blunsom | Shay Cohen | Paramveer Dhillon | Percy Liang |

A Bayesian Model for Generative Transition-based Dependency Parsing DepLing WS

Jan Buys | Phil Blunsom |

Modelling the Lexicon in Unsupervised Part of Speech Induction EACL

Gregory Dubbin | Phil Blunsom |

Dynamic Topic Adaptation for Phrase-based MT EACL

Eva Hasler | Phil Blunsom | Philipp Koehn | Barry Haddow |

Multilingual Models for Compositional Distributed Semantics ACL

Karl Moritz Hermann | Phil Blunsom |

A Convolutional Neural Network for Modelling Sentences ACL

Nal Kalchbrenner | Edward Grefenstette | Phil Blunsom |

Learning Bilingual Word Representations by Marginalizing Alignments ACL

Tomáš Kočiský | Karl Moritz Hermann | Phil Blunsom |

evision PDF of 'New Directions in Vector Space Models of Meaning ACL

Edward Grefenstette | Karl Moritz Hermann | Georgiana Dinu | Phil Blunsom |

A Deep Architecture for Semantic Parsing WS

Edward Grefenstette | Phil Blunsom | Nando de Freitas | Karl Moritz Hermann |

Adaptor Grammars for Learning Non-Concatenative Morphology EMNLP

Jan A. Botha | Phil Blunsom |

Recurrent Continuous Translation Models EMNLP

Nal Kalchbrenner | Phil Blunsom |

A Systematic Bayesian Treatment of the IBM Alignment Models NAACL

Yarin Gal | Phil Blunsom |

The Role of Syntax in Vector Space Models of Compositional Semantics ACL

Karl Moritz Hermann | Phil Blunsom |

“Not not bad” is not “bad”: A distributional account of negation WS

Karl Moritz Hermann | Edward Grefenstette | Phil Blunsom |

Recurrent Convolutional Neural Networks for Discourse Compositionality WS

Nal Kalchbrenner | Phil Blunsom |

Collapsed Variational Bayesian Inference for PCFGs CoNLL WS

Pengyu Wang | Phil Blunsom |

Bayesian Language Modelling of German Compounds COLING

Jan A. Botha | Chris Dyer | Phil Blunsom |

A Bayesian Model for Learning SCFGs with Discontiguous Rules CoNLL EMNLP

Abby Levenberg | Chris Dyer | Phil Blunsom |

Learning Semantics and Selectional Preference of Adjective-Noun Pairs *SEMEVAL

Karl Moritz Hermann | Chris Dyer | Phil Blunsom | Stephen Pulman |

An Unsupervised Ranking Model for Noun-Noun Compositionality *SEMEVAL

Karl Moritz Hermann | Phil Blunsom | Stephen Pulman |

Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure NAACL WS

Trevor Cohn | Phil Blunsom | Joao Graca |

Unsupervised Part of Speech Inference with Particle Filters NAACL WS

Gregory Dubbin | Phil Blunsom |

The PASCAL Challenge on Grammar Induction NAACL WS

Douwe Gelling | Trevor Cohn | Phil Blunsom | João Graça |

A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction ACL

Phil Blunsom | Trevor Cohn |

Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing EMNLP

Phil Blunsom | Trevor Cohn |

Inducing Synchronous Grammars with Slice Sampling NAACL

Phil Blunsom | Trevor Cohn |

Blocked Inference in Bayesian Tree Substitution Grammars ACL

Trevor Cohn | Phil Blunsom |

cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models ACL

A Bayesian Model of Syntax-Directed Tree to String Grammar Induction EMNLP

Trevor Cohn | Phil Blunsom |

Book Review: Learning Machine Translation by Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (editors) CL

Phil Blunsom |