NLPExplorer

Phil Blunsom

Number of Papers:- 65

Number of Citations:- 1148

First ACL Paper:- 2004

Latest ACL Paper:- 2020

Venues:-

WMT

IJCNLP

COLING

Rep4NLP

ACL

ALTA

EACL

CoNLL

TACL

DepLing

LatentVar

NAACL

EMNLP

*SEMEVAL

Co-Authors:-

Similar Authors:-

Learning to Segment Actions from Observation and Narration ACL

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

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

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 |