Phil Blunsom

According to our database, Phil Blunsom authored at least 148 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts.

Qizhen Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli

CoRR, 2024

Separations in the Representational Capabilities of Transformers and Recurrent Architectures.

Satwik Bhattamishra, Michael Hahn, Phil Blunsom, Varun Kanade

CoRR, 2024

Improving Reward Models with Synthetic Critiques.

Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo, Phil Blunsom, Jon Ander Campos, Matthias Gallé

CoRR, 2024

Aya 23: Open Weight Releases to Further Multilingual Progress.

Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Jon Ander Campos, Yi Chern Tan, Kelly Marchisio, Max Bartolo, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Aidan N. Gomez, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker

CoRR, 2024

Human Feedback is not Gold Standard.

Tom Hosking, Phil Blunsom, Max Bartolo

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions.

Satwik Bhattamishra, Arkil Patel, Phil Blunsom, Varun Kanade

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model.

Ahmet Üstün, Viraat Aryabumi, Zheng Xin Yong, Wei-Yin Ko, Daniel D'souza, Gbemileke Onilude, Neel Bhandari, Shivalika Singh, Hui-Lee Ooi, Amr Kayid, Freddie Vargus, Phil Blunsom, Shayne Longpre, Niklas Muennighoff, Marzieh Fadaee, Julia Kreutzer, Sara Hooker

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Structural Transfer Learning in NL-to-Bash Semantic Parsers.

Kyle Duffy, Satwik Bhattamishra, Phil Blunsom

CoRR, 2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

CoRR, 2023

Intriguing Properties of Quantization at Scale.

Arash Ahmadian, Saurabh Dash, Hongyu Chen, Bharat Venkitesh, Stephen Zhen Gou, Phil Blunsom, Ahmet Üstün, Sara Hooker

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Can Text Encoders be Deceived by Length Attack?

Chenghao Xiao, Zihuiwen Ye, G. Thomas Hudson, Zhongtian Sun, Phil Blunsom, Noura Al Moubayed

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.

Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

On "Scientific Debt" in NLP: A Case for More Rigour in Language Model Pre-Training Research.

Made Nindyatama Nityasya, Haryo Akbarianto Wibowo, Alham Fikri Aji, Genta Indra Winata, Radityo Eko Prasojo, Phil Blunsom, Adhiguna Kuncoro

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Simplicity Bias in Transformers and their Ability to Learn Sparse Boolean Functions.

Satwik Bhattamishra, Arkil Patel, Varun Kanade, Phil Blunsom

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale.

Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, Milos Stanojevic, Phil Blunsom, Chris Dyer

Trans. Assoc. Comput. Linguistics, 2022

Relational Memory-Augmented Language Models.

Qi Liu, Dani Yogatama, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2022

Mutual Information Constraints for Monte-Carlo Objectives to Prevent Posterior Collapse Especially in Language Modelling.

Gábor Melis, András György, Phil Blunsom

J. Mach. Learn. Res., 2022

Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.

Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh

CoRR, 2022

Learning Proof Path Selection Policies in Neural Theorem Proving.

Matthew Morris, Pasquale Minervini, Phil Blunsom

Proceedings of the 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022), 2022

StreamingQA: A Benchmark for Adaptation to New Knowledge over Time in Question Answering Models.

Adam Liska, Tomás Kociský, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, Cyprien de Masson d'Autume, Tim Scholtes, Manzil Zaheer, Susannah Young, Ellen Gilsenan-McMahon, Sophia Austin, Phil Blunsom, Angeliki Lazaridou

Proceedings of the International Conference on Machine Learning, 2022

Augmenting Multi-Turn Text-to-SQL Datasets with Self-Play.

Qi Liu, Zihuiwen Ye, Tao Yu, Linfeng Song, Phil Blunsom

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Systematic Investigation of Commonsense Knowledge in Large Language Models.

Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Revisiting the Compositional Generalization Abilities of Neural Sequence Models.

Arkil Patel, Satwik Bhattamishra, Phil Blunsom, Navin Goyal

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Learning With Stochastic Guidance for Robot Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

IEEE Trans. Neural Networks Learn. Syst., 2021

Pretraining the Noisy Channel Model for Task-Oriented Dialogue.

Qi Liu, Lei Yu, Laura Rimell, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2021

A Systematic Investigation of Commonsense Understanding in Large Language Models.

Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh

CoRR, 2021

Pitfalls of Static Language Modelling.

Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Sebastian Ruder, Dani Yogatama, Kris Cao, Tomás Kociský, Susannah Young, Phil Blunsom

CoRR, 2021

Mind the Gap: Assessing Temporal Generalization in Neural Language Models.

Angeliki Lazaridou, Adhiguna Kuncoro, Elena Gribovskaya, Devang Agrawal, Adam Liska, Tayfun Terzi, Mai Gimenez, Cyprien de Masson d'Autume, Tomás Kociský, Sebastian Ruder, Dani Yogatama, Kris Cao, Susannah Young, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Counterfactual Data Augmentation for Neural Machine Translation.

Qi Liu, Matt J. Kusner, Phil Blunsom

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Generative Framework for Simultaneous Machine Translation.

Yishu Miao, Phil Blunsom, Lucia Specia

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Better Document-Level Machine Translation with Bayes' Rule.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

Trans. Assoc. Comput. Linguistics, 2020

Syntactic Structure Distillation Pretraining for Bidirectional Encoders.

Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom

Trans. Assoc. Comput. Linguistics, 2020

Mutual Information Constraints for Monte-Carlo Objectives.

Gábor Melis, András György, Phil Blunsom

CoRR, 2020

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.

Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom

CoRR, 2020

A Survey on Contextual Embeddings.

Qi Liu, Matt J. Kusner, Phil Blunsom

CoRR, 2020

The DeepMind Chinese-English Document Translation System at WMT2020.

Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokrá, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer

Proceedings of the Fifth Conference on Machine Translation, 2020

Mogrifier LSTM.

Gábor Melis, Tomás Kociský, Phil Blunsom

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Robust and Multilingual Speech Representations.

Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Visual Grounding in Video for Unsupervised Word Translation.

Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Simulating Early Word Learning in Situated Connectionist Agents.

Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann

Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning to Segment Actions from Observation and Narration.

Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

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

Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.

Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom

CoRR, 2019

Putting Machine Translation in Context with the Noisy Channel Model.

Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer

CoRR, 2019

A Critical Analysis of Biased Parsers in Unsupervised Parsing.

Chris Dyer, Gábor Melis, Phil Blunsom

CoRR, 2019

Learning and Evaluating General Linguistic Intelligence.

Dani Yogatama, Cyprien de Masson d'Autume, Jerome T. Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom

CoRR, 2019

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.

Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Scalable Syntax-Aware Language Models Using Knowledge Distillation.

Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

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

Kazuya Kawakami, Chris Dyer, Phil Blunsom

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MotionTransformer: Transferring Neural Inertial Tracking between Domains.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

The NarrativeQA Reading Comprehension Challenge.

Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette

Trans. Assoc. Comput. Linguistics, 2018

Learning with Stochastic Guidance for Navigation.

Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni

CoRR, 2018

Sentence Encoding with Tree-constrained Relation Networks.

Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling

CoRR, 2018

Unsupervised Word Discovery with Segmental Neural Language Models.

Kazuya Kawakami, Chris Dyer, Phil Blunsom

CoRR, 2018

Transferring Physical Motion Between Domains for Neural Inertial Tracking.

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni

CoRR, 2018

Encoding Spatial Relations from Natural Language.

Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann

CoRR, 2018

Pushing the bounds of dropout.

Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom

CoRR, 2018

Neural Arithmetic Logic Units.

Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

e-SNLI: Natural Language Inference with Natural Language Explanations.

Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Syntactic Generative Models with Exact Marginalization.

Jan Buys, Phil Blunsom

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Memory Architectures in Recurrent Neural Network Language Models.

Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom

Proceedings of the 6th International Conference on Learning Representations, 2018

On the State of the Art of Evaluation in Neural Language Models.

Gábor Melis, Chris Dyer, Phil Blunsom

Proceedings of the 6th International Conference on Learning Representations, 2018

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

Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom

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).

Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze

Dagstuhl Reports, 2017

Understanding Grounded Language Learning Agents.

Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark

CoRR, 2017

Generative and Discriminative Text Classification with Recurrent Neural Networks.

Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom

CoRR, 2017

Grounded Language Learning in a Simulated 3D World.

Karl Moritz Hermann, Felix Hill, Simon Green, Fumin Wang, Ryan Faulkner, Hubert Soyer, David Szepesvari, Wojciech Marian Czarnecki, Max Jaderberg, Denis Teplyashin, Marcus Wainwright, Chris Apps, Demis Hassabis, Phil Blunsom

CoRR, 2017

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

Jan Buys, Phil Blunsom

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Latent Intention Dialogue Models.

Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young

Proceedings of the 34th International Conference on Machine Learning, 2017

Discovering Discrete Latent Topics with Neural Variational Inference.

Yishu Miao, Edward Grefenstette, Phil Blunsom

Proceedings of the 34th International Conference on Machine Learning, 2017

The Neural Noisy Channel.

Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský

Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Compose Words into Sentences with Reinforcement Learning.

Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling

Proceedings of the 5th International Conference on Learning Representations, 2017

Reference-Aware Language Models.

Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

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

Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom

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.

Kazuya Kawakami, Chris Dyer, Phil Blunsom

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Robust Incremental Neural Semantic Graph Parsing.

Jan Buys, Phil Blunsom

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Hybrid computing using a neural network with dynamic external memory.

Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John P. Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, Demis Hassabis

Nat., 2016

Reasoning about Entailment with Neural Attention.

Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom

Proceedings of the 4th International Conference on Learning Representations, 2016

Optimizing Performance of Recurrent Neural Networks on GPUs.

Jeremy Appleyard, Tomás Kociský, Phil Blunsom

CoRR, 2016

Neural Variational Inference for Text Processing.

Yishu Miao, Lei Yu, Phil Blunsom

Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Segment to Segment Neural Transduction.

Lei Yu, Jan Buys, Phil Blunsom

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

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

Yishu Miao, Phil Blunsom

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Semantic Parsing with Semi-Supervised Sequential Autoencoders.

Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Latent Predictor Networks for Code Generation.

Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Fumin Wang, Andrew W. Senior

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.

Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik

IEEE Trans. Wirel. Commun., 2015

Teaching Machines to Read and Comprehend.

Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom

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.

Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom

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.

Paul Baltescu, Phil Blunsom

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.

Alex Wilson, Phil Blunsom, Andrew D. Ker

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Bayesian Model for Generative Transition-based Dependency Parsing.

Jan Buys, Phil Blunsom

Proceedings of the Third International Conference on Dependency Linguistics, 2015

Generative Incremental Dependency Parsing with Neural Networks.

Jan Buys, Phil Blunsom

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.

Austin Matthews, Paul Baltescu, Phil Blunsom, Alon Lavie, Chris Dyer

Prague Bull. Math. Linguistics, 2014

OxLM: A Neural Language Modelling Framework for Machine Translation.

Paul Baltescu, Phil Blunsom, Hieu Hoang

Prague Bull. Math. Linguistics, 2014

A Fast and Simple Online Synchronous Context Free Grammar Extractor.

Paul Baltescu, Phil Blunsom

Prague Bull. Math. Linguistics, 2014

Deep Learning for Answer Sentence Selection.

Lei Yu, Karl Moritz Hermann, Phil Blunsom, Stephen Pulman

CoRR, 2014

Bayesian Optimisation for Machine Translation.

Yishu Miao, Ziyu Wang, Phil Blunsom

CoRR, 2014

Deep Multi-Instance Transfer Learning.

Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas

CoRR, 2014

A Simple Model for Learning Multilingual Compositional Semantics.

Karl Moritz Hermann, Phil Blunsom

Proceedings of the 2nd International Conference on Learning Representations, 2014

A Deep Architecture for Semantic Parsing.

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

CoRR, 2014

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

Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas

CoRR, 2014

Linguistic steganography on Twitter: hierarchical language modeling with manual interaction.

Alex Wilson, Phil Blunsom, Andrew D. Ker

Proceedings of the Media Watermarking, 2014

Compositional Morphology for Word Representations and Language Modelling.

Jan A. Botha, Phil Blunsom

Proceedings of the 31th International Conference on Machine Learning, 2014

Dynamic Topic Adaptation for Phrase-based MT.

Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow

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.

Gregory Dubbin, Phil Blunsom

Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014

Learning Bilingual Word Representations by Marginalizing Alignments.

Tomás Kociský, Karl Moritz Hermann, Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

A Convolutional Neural Network for Modelling Sentences.

Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Multilingual Models for Compositional Distributed Semantics.

Karl Moritz Hermann, Phil Blunsom

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

New Directions in Vector Space Models of Meaning.

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

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Identification and mitigation of non-line-of-sight conditions using received signal strength.

Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik

Proceedings of the 9th IEEE International Conference on Wireless and Mobile Computing, 2013

A Systematic Bayesian Treatment of the IBM Alignment Models.

Yarin Gal, Phil Blunsom

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.

Hongkai Wen, Zhuoling Xiao, Niki Trigoni, Phil Blunsom

Proceedings of the Wireless Sensor Networks - 10th European Conference, 2013

Recurrent Continuous Translation Models.

Nal Kalchbrenner, Phil Blunsom

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Adaptor Grammars for Learning Non-Concatenative Morphology.

Jan A. Botha, Phil Blunsom

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Collapsed Variational Bayesian Inference for PCFGs.

Pengyu Wang, Phil Blunsom

Proceedings of the Seventeenth Conference on Computational Natural Language Learning, 2013

Collapsed Variational Bayesian Inference for Hidden Markov Models.

Pengyu Wang, Phil Blunsom

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

Recurrent Convolutional Neural Networks for Discourse Compositionality.

Nal Kalchbrenner, Phil Blunsom

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

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

Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom

Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality, 2013

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

Karl Moritz Hermann, Phil Blunsom

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Learning Semantics and Selectional Preference of Adjective-Noun Pairs.

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

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

An Unsupervised Ranking Model for Noun-Noun Compositionality.

Karl Moritz Hermann, Phil Blunsom, Stephen Pulman

Proceedings of the First Joint Conference on Lexical and Computational Semantics, 2012

Unsupervised Bayesian Part of Speech Inference with Particle Gibbs.

Gregory Dubbin, Phil Blunsom

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

A Bayesian Model for Learning SCFGs with Discontiguous Rules.

Abby D. Levenberg, Chris Dyer, Phil Blunsom

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.

Jan A. Botha, Chris Dyer, Phil Blunsom

Proceedings of the COLING 2012, 2012

2011

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

Phil Blunsom, Trevor Cohn

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Metrics for MT evaluation: evaluating reordering.

Alexandra Birch, Miles Osborne, Phil Blunsom

Mach. Transl., 2010

Monte Carlo techniques for phrase-based translation.

Abhishek Arun, Barry Haddow, Philipp Koehn, Adam Lopez, Chris Dyer, Phil Blunsom

Mach. Transl., 2010

Inducing Tree-Substitution Grammars.

Trevor Cohn, Phil Blunsom, Sharon Goldwater

J. Mach. Learn. Res., 2010

Inducing Synchronous Grammars with Slice Sampling.

Phil Blunsom, Trevor Cohn

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.

Phil Blunsom, Trevor Cohn

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.

Chris Dyer, Adam Lopez, Juri Ganitkevitch, Jonathan Weese, Ferhan Türe, Phil Blunsom, Hendra Setiawan, Vladimir Eidelman, Philip Resnik

Proceedings of the ACL 2010, 2010

Blocked Inference in Bayesian Tree Substitution Grammars.

Trevor Cohn, Phil Blunsom

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

Phil Blunsom

Comput. Linguistics, 2009

A Quantitative Analysis of Reordering Phenomena.

Alexandra Birch, Phil Blunsom, Miles Osborne

Proceedings of the Fourth Workshop on Statistical Machine Translation, 2009

Inducing Compact but Accurate Tree-Substitution Grammars.

Trevor Cohn, Sharon Goldwater, Phil Blunsom

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.

Trevor Cohn, Phil Blunsom

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Monte Carlo inference and maximization for phrase-based translation.

Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez, Philipp Koehn

Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

A Note on the Implementation of Hierarchical Dirichlet Processes.

Phil Blunsom, Trevor Cohn, Sharon Goldwater, Mark Johnson

Proceedings of the ACL 2009, 2009

A Gibbs Sampler for Phrasal Synchronous Grammar Induction.

Phil Blunsom, Trevor Cohn, Chris Dyer, Miles Osborne

Proceedings of the ACL 2009, 2009

2008

Bayesian Synchronous Grammar Induction.

Phil Blunsom, Trevor Cohn, Miles Osborne

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Probabilistic Inference for Machine Translation.

Phil Blunsom, Miles Osborne

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

A Discriminative Latent Variable Model for Statistical Machine Translation.

Phil Blunsom, Trevor Cohn, Miles Osborne

Proceedings of the ACL 2008, 2008

2007

Structured classification for multilingual natural language processing.

Phil Blunsom

PhD thesis, 2007

2006

Question classification with log-linear models.

Phil Blunsom, Krystle Kocik, James R. Curran

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.

Phil Blunsom, Timothy Baldwin

Proceedings of the EMNLP 2006, 2006

Discriminative Word Alignment with Conditional Random Fields.

Phil Blunsom, Trevor Cohn

Proceedings of the ACL 2006, 2006

Die Morphologie (f): Targeted Lexical Acquisition for Languages other than English.

Jeremy Nicholson, Timothy Baldwin, Phil Blunsom

Proceedings of the Australasian Language Technology Workshop, 2006

2005

Semantic Role Labelling with Tree Conditional Random Fields.

Trevor Cohn, Phil Blunsom

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

2004

Maximum Entropy Markov Models for Semantic Role Labelling.

Phil Blunsom

Proceedings of the Australasian Language Technology Workshop, 2004