Phil Blunsom
Also published as: Philip Blunsom
2022
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
Arkil Patel
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Satwik Bhattamishra
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Phil Blunsom
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Navin Goyal
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Relational Memory-Augmented Language Models
Qi Liu
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Dani Yogatama
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Phil Blunsom
Transactions of the Association for Computational Linguistics, Volume 10
2021
Counterfactual Data Augmentation for Neural Machine Translation
Qi Liu
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Matt Kusner
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Phil Blunsom
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
A Generative Framework for Simultaneous Machine Translation
Yishu Miao
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Phil Blunsom
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Lucia Specia
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Pretraining the Noisy Channel Model for Task-Oriented Dialogue
Qi Liu
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Lei Yu
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Laura Rimell
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Phil Blunsom
Transactions of the Association for Computational Linguistics, Volume 9
2020
The DeepMind Chinese–English Document Translation System at WMT2020
Lei Yu
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Laurent Sartran
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Po-Sen Huang
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Wojciech Stokowiec
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Domenic Donato
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Srivatsan Srinivasan
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Alek Andreev
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Wang Ling
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Sona Mokra
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Agustin Dal Lago
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Yotam Doron
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Susannah Young
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Phil Blunsom
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Chris Dyer
Proceedings of the Fifth Conference on Machine Translation
Learning to Segment Actions from Observation and Narration
Daniel Fried
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Jean-Baptiste Alayrac
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Phil Blunsom
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Chris Dyer
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Stephen Clark
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Aida Nematzadeh
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations
Oana-Maria Camburu
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Brendan Shillingford
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Pasquale Minervini
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Thomas Lukasiewicz
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Phil Blunsom
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Better Document-Level Machine Translation with Bayes’ Rule
Lei Yu
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Laurent Sartran
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Wojciech Stokowiec
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Wang Ling
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Lingpeng Kong
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Phil Blunsom
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Chris Dyer
Transactions of the Association for Computational Linguistics, Volume 8
Syntactic Structure Distillation Pretraining for Bidirectional Encoders
Adhiguna Kuncoro
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Lingpeng Kong
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Daniel Fried
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Dani Yogatama
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Laura Rimell
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Chris Dyer
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Phil Blunsom
Transactions of the Association for Computational Linguistics, Volume 8
Learning Robust and Multilingual Speech Representations
Kazuya Kawakami
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Luyu Wang
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Chris Dyer
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Phil Blunsom
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Aaron van den Oord
Findings of the Association for Computational Linguistics: EMNLP 2020
2019
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution
Vid Kocijan
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Oana-Maria Camburu
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Ana-Maria Cretu
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Yordan Yordanov
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Phil Blunsom
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Thomas Lukasiewicz
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
Scalable Syntax-Aware Language Models Using Knowledge Distillation
Adhiguna Kuncoro
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Chris Dyer
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Laura Rimell
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Stephen Clark
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Phil Blunsom
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Learning to Discover, Ground and Use Words with Segmental Neural Language Models
Kazuya Kawakami
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Chris Dyer
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Phil Blunsom
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
2018
Neural Syntactic Generative Models with Exact Marginalization
Jan Buys
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Phil Blunsom
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers)
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro
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Chris Dyer
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John Hale
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Dani Yogatama
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Stephen Clark
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Phil Blunsom
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský
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Jonathan Schwarz
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Phil Blunsom
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Chris Dyer
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Karl Moritz Hermann
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Gábor Melis
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Edward Grefenstette
Transactions of the Association for Computational Linguistics, Volume 6
2017
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention
Jan Buys
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Phil Blunsom
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems
Wang Ling
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Dani Yogatama
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Chris Dyer
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Phil Blunsom
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Robust Incremental Neural Semantic Graph Parsing
Jan Buys
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Phil Blunsom
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling
Kazuya Kawakami
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Chris Dyer
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Phil Blunsom
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Reference-Aware Language Models
Zichao Yang
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Phil Blunsom
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Chris Dyer
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Wang Ling
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers
Mirella Lapata
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Phil Blunsom
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Alexander Koller
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: Volume 2, Short Papers
Mirella Lapata
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Phil Blunsom
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Alexander Koller
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers
Proceedings of the 2nd Workshop on Representation Learning for NLP
Phil Blunsom
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Antoine Bordes
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Kyunghyun Cho
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Shay Cohen
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Chris Dyer
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Edward Grefenstette
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Karl Moritz Hermann
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Laura Rimell
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Jason Weston
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Scott Yih
Proceedings of the 2nd Workshop on Representation Learning for NLP
2016
Proceedings of the 1st Workshop on Representation Learning for NLP
Phil Blunsom
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Kyunghyun Cho
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Shay Cohen
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Edward Grefenstette
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Karl Moritz Hermann
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Laura Rimell
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Jason Weston
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Scott Wen-tau Yih
Proceedings of the 1st Workshop on Representation Learning for NLP
Latent Predictor Networks for Code Generation
Wang Ling
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Phil Blunsom
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Edward Grefenstette
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Karl Moritz Hermann
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Tomáš Kočiský
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Fumin Wang
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Andrew Senior
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
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Phil Blunsom
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Semantic Parsing with Semi-Supervised Sequential Autoencoders
Tomáš Kočiský
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Gábor Melis
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Edward Grefenstette
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Chris Dyer
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Wang Ling
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Phil Blunsom
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Karl Moritz Hermann
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Online Segment to Segment Neural Transduction
Lei Yu
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Jan Buys
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Phil Blunsom
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
2015
Detection of Steganographic Techniques on Twitter
Alex Wilson
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Phil Blunsom
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Andrew Ker
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Pragmatic Neural Language Modelling in Machine Translation
Paul Baltescu
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Phil Blunsom
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Generative Incremental Dependency Parsing with Neural Networks
Jan Buys
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Phil Blunsom
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing
Phil Blunsom
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Shay Cohen
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Paramveer Dhillon
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Percy Liang
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing
A Bayesian Model for Generative Transition-based Dependency Parsing
Jan Buys
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Phil Blunsom
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)
2014
Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann
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Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner
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Edward Grefenstette
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Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský
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Karl Moritz Hermann
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Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
New Directions in Vector Space Models of Meaning
Edward Grefenstette
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Karl Moritz Hermann
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Georgiana Dinu
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Phil Blunsom
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics: Tutorials
Modelling the Lexicon in Unsupervised Part of Speech Induction
Gregory Dubbin
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Phil Blunsom
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
Dynamic Topic Adaptation for Phrase-based MT
Eva Hasler
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Phil Blunsom
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Philipp Koehn
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Barry Haddow
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics
A Deep Architecture for Semantic Parsing
Edward Grefenstette
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Phil Blunsom
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Nando de Freitas
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Karl Moritz Hermann
Proceedings of the ACL 2014 Workshop on Semantic Parsing
2013
“Not not bad” is not “bad”: A distributional account of negation
Karl Moritz Hermann
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Edward Grefenstette
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Phil Blunsom
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
Recurrent Convolutional Neural Networks for Discourse Compositionality
Nal Kalchbrenner
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Phil Blunsom
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality
Collapsed Variational Bayesian Inference for PCFGs
Pengyu Wang
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Phil Blunsom
Proceedings of the Seventeenth Conference on Computational Natural Language Learning
The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann
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Phil Blunsom
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Adaptor Grammars for Learning Non-Concatenative Morphology
Jan A. Botha
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Phil Blunsom
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Recurrent Continuous Translation Models
Nal Kalchbrenner
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Phil Blunsom
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
A Systematic Bayesian Treatment of the IBM Alignment Models
Yarin Gal
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Phil Blunsom
Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
2012
Learning Semantics and Selectional Preference of Adjective-Noun Pairs
Karl Moritz Hermann
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Chris Dyer
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Phil Blunsom
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Stephen Pulman
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
An Unsupervised Ranking Model for Noun-Noun Compositionality
Karl Moritz Hermann
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Phil Blunsom
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Stephen Pulman
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)
A Bayesian Model for Learning SCFGs with Discontiguous Rules
Abby Levenberg
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Chris Dyer
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Phil Blunsom
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
Trevor Cohn
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Phil Blunsom
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Joao Graca
Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
Unsupervised Part of Speech Inference with Particle Filters
Gregory Dubbin
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Phil Blunsom
Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
The PASCAL Challenge on Grammar Induction
Douwe Gelling
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Trevor Cohn
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Phil Blunsom
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João Graça
Proceedings of the NAACL-HLT Workshop on the Induction of Linguistic Structure
Bayesian Language Modelling of German Compounds
Jan A. Botha
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Chris Dyer
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Phil Blunsom
Proceedings of COLING 2012
2011
A Hierarchical Pitman-Yor Process HMM for Unsupervised Part of Speech Induction
Phil Blunsom
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Trevor Cohn
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
2010
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing
Phil Blunsom
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Trevor Cohn
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Inducing Synchronous Grammars with Slice Sampling
Phil Blunsom
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Trevor Cohn
Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Blocked Inference in Bayesian Tree Substitution Grammars
Trevor Cohn
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Phil Blunsom
Proceedings of the ACL 2010 Conference Short Papers
cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models
Chris Dyer
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Adam Lopez
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Juri Ganitkevitch
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Jonathan Weese
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Ferhan Ture
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Phil Blunsom
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Hendra Setiawan
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Vladimir Eidelman
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Philip Resnik
Proceedings of the ACL 2010 System Demonstrations
2009
A Bayesian Model of Syntax-Directed Tree to String Grammar Induction
Trevor Cohn
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Phil Blunsom
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing
A Quantitative Analysis of Reordering Phenomena
Alexandra Birch
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Phil Blunsom
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Miles Osborne
Proceedings of the Fourth Workshop on Statistical Machine Translation
Monte Carlo inference and maximization for phrase-based translation
Abhishek Arun
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Chris Dyer
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Barry Haddow
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Phil Blunsom
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Adam Lopez
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Philipp Koehn
Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL-2009)
Inducing Compact but Accurate Tree-Substitution Grammars
Trevor Cohn
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Sharon Goldwater
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Phil Blunsom
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Book Review: Learning Machine Translation by Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (editors)
Phil Blunsom
Computational Linguistics, Volume 35, Number 4, December 2009
A Gibbs Sampler for Phrasal Synchronous Grammar Induction
Phil Blunsom
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Trevor Cohn
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Chris Dyer
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Miles Osborne
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP
A Note on the Implementation of Hierarchical Dirichlet Processes
Phil Blunsom
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Trevor Cohn
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Sharon Goldwater
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Mark Johnson
Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
2008
Probabilistic Inference for Machine Translation
Phil Blunsom
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Miles Osborne
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing
A Discriminative Latent Variable Model for Statistical Machine Translation
Phil Blunsom
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Trevor Cohn
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Miles Osborne
Proceedings of ACL-08: HLT
2006
Discriminative Word Alignment with Conditional Random Fields
Phil Blunsom
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Trevor Cohn
Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics
Die Morphologie (f): Targeted Lexical Acquisition for Languages other than English
Jeremy Nicholson
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Timothy Baldwin
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Phil Blunsom
Proceedings of the Australasian Language Technology Workshop 2006
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging
Phil Blunsom
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Timothy Baldwin
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
2005
Semantic Role Labelling with Tree Conditional Random Fields
Trevor Cohn
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Philip Blunsom
Proceedings of the Ninth Conference on Computational Natural Language Learning (CoNLL-2005)
2004
Maximum Entropy Markov Models for Semantic Role Labelling
Phil Blunsom
Proceedings of the Australasian Language Technology Workshop 2004
Co-authors
- Chris Dyer 20
- Trevor Cohn 13
- Karl Moritz Hermann 13
- Edward Grefenstette 9
- Wang Ling 6
- show all...
- Jan Buys 6
- Laura Rimell 5
- Lei Yu 4
- Miles Osborne 4
- Tomáš Kočiský 4
- Dani Yogatama 4
- Qi Liu 3
- Stephen Clark 3
- Nal Kalchbrenner 3
- Shay B. Cohen 3
- Adhiguna Kuncoro 3
- Kazuya Kawakami 3
- Laurent Sartran 2
- Wojciech Stokowiec 2
- Barry Haddow 2
- Adam Lopez 2
- Philipp Koehn 2
- Daniel Fried 2
- Oana-Maria Camburu 2
- Thomas Lukasiewicz 2
- Kyunghyun Cho 2
- Jason Weston 2
- Stephen Pulman 2
- Gregory Dubbin 2
- Lingpeng Kong 2
- Sharon Goldwater 2
- Timothy Baldwin 2
- Jan A. Botha 2
- João Graça 2
- Gábor Melis 2
- Mirella Lapata 2
- Alexander Koller 2
- Yishu Miao 2
- Po-Sen Huang 1
- Domenic Donato 1
- Srivatsan Srinivasan 1
- Alek Andreev 1
- Sona Mokra 1
- Agustin Dal Lago 1
- Yotam Doron 1
- Susannah Young 1
- Alexandra Birch 1
- Abhishek Arun 1
- Alex Wilson 1
- Andrew Ker 1
- Matt Kusner 1
- Jean-Baptiste Alayrac 1
- Aida Nematzadeh 1
- Brendan Shillingford 1
- Pasquale Minervini 1
- Georgiana Dinu 1
- Paul Baltescu 1
- Wen-tau Yih 1
- Pengyu Wang 1
- Eva Hasler 1
- Vid Kocijan 1
- Ana-Maria Cretu 1
- Yordan Yordanov 1
- Arkil Patel 1
- Satwik Bhattamishra 1
- Navin Goyal 1
- Fumin Wang 1
- Andrew Senior 1
- Jeremy Nicholson 1
- Abby Levenberg 1
- Yarin Gal 1
- Douwe Gelling 1
- Zichao Yang 1
- John Hale 1
- Luyu Wang 1
- Aaron van den Oord 1
- Mark Johnson 1
- Nando de Freitas 1
- Jonathan Schwarz 1
- Paramveer S. Dhillon 1
- Percy Liang 1
- Juri Ganitkevitch 1
- Jonathan Weese 1
- Ferhan Türe 1
- Hendra Setiawan 1
- Vladimir Eidelman 1
- Philip Resnik 1
- Lucia Specia 1
- Antoine Bordes 1
- Scott Yih 1