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2020 – today
- 2021
[j13]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen
, Andrew Markham, Niki Trigoni:
Learning With Stochastic Guidance for Robot Navigation. IEEE Trans. Neural Networks Learn. Syst. 32(1): 166-176 (2021)- [i60]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:
Pitfalls of Static Language Modelling. CoRR abs/2102.01951 (2021) - 2020
- [j12]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Better Document-Level Machine Translation with Bayes' Rule. Trans. Assoc. Comput. Linguistics 8: 346-360 (2020) - [j11]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining for Bidirectional Encoders. Trans. Assoc. Comput. Linguistics 8: 776-794 (2020) - [c82]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. ACL 2020: 2569-2588 - [c81]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL 2020: 4157-4165 - [c80]Felix Hill, Stephen Clark, Phil Blunsom, Karl Moritz Hermann:
Simulating Early Word Learning in Situated Connectionist Agents. CogSci 2020 - [c79]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CVPR 2020: 10847-10856 - [c78]Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. EMNLP (Findings) 2020: 1182-1192 - [c77]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. ICLR 2020 - [c76]Lei Yu, Laurent Sartran, Po-Sen Huang, Wojciech Stokowiec, Domenic Donato, Srivatsan Srinivasan, Alek Andreev, Wang Ling, Sona Mokra, Agustin Dal Lago, Yotam Doron, Susannah Young, Phil Blunsom, Chris Dyer:
The DeepMind Chinese-English Document Translation System at WMT2020. WMT@EMNLP 2020: 326-337 - [i59]Kazuya Kawakami, Luyu Wang, Chris Dyer, Phil Blunsom, Aäron van den Oord:
Learning Robust and Multilingual Speech Representations. CoRR abs/2001.11128 (2020) - [i58]Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman:
Visual Grounding in Video for Unsupervised Word Translation. CoRR abs/2003.05078 (2020) - [i57]Qi Liu, Matt J. Kusner, Phil Blunsom:
A Survey on Contextual Embeddings. CoRR abs/2003.07278 (2020) - [i56]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. CoRR abs/2005.03684 (2020) - [i55]Adhiguna Kuncoro, Lingpeng Kong, Daniel Fried, Dani Yogatama, Laura Rimell, Chris Dyer, Phil Blunsom:
Syntactic Structure Distillation Pretraining For Bidirectional Encoders. CoRR abs/2005.13482 (2020) - [i54]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom:
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR abs/2009.11023 (2020) - [i53]Gábor Melis, András György, Phil Blunsom:
Mutual Information Constraints for Monte-Carlo Objectives. CoRR abs/2012.00708 (2020)
2010 – 2019
- 2019
- [c75]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom, Andrew Markham, Niki Trigoni:
MotionTransformer: Transferring Neural Inertial Tracking between Domains. AAAI 2019: 8009-8016 - [c74]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. ACL (1) 2019: 3472-3484 - [c73]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Discover, Ground and Use Words with Segmental Neural Language Models. ACL (1) 2019: 6429-6441 - [c72]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) 2019: 4302-4311 - [i52]Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, Tomás Kociský, Mike Chrzanowski, Lingpeng Kong, Angeliki Lazaridou, Wang Ling, Lei Yu, Chris Dyer, Phil Blunsom:
Learning and Evaluating General Linguistic Intelligence. CoRR abs/1901.11373 (2019) - [i51]Adhiguna Kuncoro, Chris Dyer, Laura Rimell, Stephen Clark, Phil Blunsom:
Scalable Syntax-Aware Language Models Using Knowledge Distillation. CoRR abs/1906.06438 (2019) - [i50]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR abs/1908.08025 (2019) - [i49]Gábor Melis, Tomás Kociský, Phil Blunsom:
Mogrifier LSTM. CoRR abs/1909.01792 (2019) - [i48]Chris Dyer, Gábor Melis, Phil Blunsom:
A Critical Analysis of Biased Parsers in Unsupervised Parsing. CoRR abs/1909.09428 (2019) - [i47]Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Putting Machine Translation in Context with the Noisy Channel Model. CoRR abs/1910.00553 (2019) - [i46]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom:
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR abs/1910.02065 (2019) - [i45]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR abs/1910.03065 (2019) - 2018
- [j10]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. Trans. Assoc. Comput. Linguistics 6: 317-328 (2018) - [c71]Adhiguna Kuncoro, Chris Dyer, John Hale, Dani Yogatama, Stephen Clark, Phil Blunsom:
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better. ACL (1) 2018: 1426-1436 - [c70]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. ICLR (Poster) 2018 - [c69]Dani Yogatama, Yishu Miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom:
Memory Architectures in Recurrent Neural Network Language Models. ICLR (Poster) 2018 - [c68]Jan Buys, Phil Blunsom:
Neural Syntactic Generative Models with Exact Marginalization. NAACL-HLT 2018: 942-952 - [c67]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. NeurIPS 2018: 8046-8055 - [c66]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS 2018: 9560-9572 - [i44]Gábor Melis, Charles Blundell, Tomás Kociský, Karl Moritz Hermann, Chris Dyer, Phil Blunsom:
Pushing the bounds of dropout. CoRR abs/1805.09208 (2018) - [i43]Tiago Ramalho, Tomás Kociský, Frederic Besse, S. M. Ali Eslami, Gábor Melis, Fabio Viola, Phil Blunsom, Karl Moritz Hermann:
Encoding Spatial Relations from Natural Language. CoRR abs/1807.01670 (2018) - [i42]Andrew Trask, Felix Hill, Scott E. Reed, Jack W. Rae, Chris Dyer, Phil Blunsom:
Neural Arithmetic Logic Units. CoRR abs/1808.00508 (2018) - [i41]Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Phil Blunsom, Andrew Markham, Niki Trigoni:
Transferring Physical Motion Between Domains for Neural Inertial Tracking. CoRR abs/1810.02076 (2018) - [i40]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Unsupervised Word Discovery with Segmental Neural Language Models. CoRR abs/1811.09353 (2018) - [i39]Lei Yu, Cyprien de Masson d'Autume, Chris Dyer, Phil Blunsom, Lingpeng Kong, Wang Ling:
Sentence Encoding with Tree-constrained Relation Networks. CoRR abs/1811.10475 (2018) - [i38]Linhai Xie, Yishu Miao, Sen Wang, Phil Blunsom, Zhihua Wang, Changhao Chen, Andrew Markham, Niki Trigoni:
Learning with Stochastic Guidance for Navigation. CoRR abs/1811.10756 (2018) - [i37]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR abs/1812.01193 (2018) - 2017
- [c65]Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom:
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. ACL (1) 2017: 158-167 - [c64]Jan Buys, Phil Blunsom:
Robust Incremental Neural Semantic Graph Parsing. ACL (1) 2017: 1215-1226 - [c63]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. ACL (1) 2017: 1492-1502 - [c62]Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. EMNLP 2017: 1850-1859 - [c61]Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling:
Learning to Compose Words into Sentences with Reinforcement Learning. ICLR (Poster) 2017 - [c60]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. ICLR (Poster) 2017 - [c59]Yishu Miao, Edward Grefenstette, Phil Blunsom:
Discovering Discrete Latent Topics with Neural Variational Inference. ICML 2017: 2410-2419 - [c58]Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young:
Latent Intention Dialogue Models. ICML 2017: 3732-3741 - [c57]Jan Buys, Phil Blunsom:
Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention. SemEval@ACL 2017: 914-919 - [e5]Mirella Lapata, Phil Blunsom, Alexander Koller:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 1: Long Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-34-0 [contents] - [e4]Mirella Lapata, Phil Blunsom, Alexander Koller:
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers. Association for Computational Linguistics 2017, ISBN 978-1-945626-35-7 [contents] - [e3]Phil Blunsom, Antoine Bordes, Kyunghyun Cho, Shay B. Cohen, Chris Dyer, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Yih:
Proceedings of the 2nd Workshop on Representation Learning for NLP, Rep4NLP@ACL 2017, Vancouver, Canada, August 3, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-62-3 [contents] - [i36]Dani Yogatama, Chris Dyer, Wang Ling, Phil Blunsom:
Generative and Discriminative Text Classification with Recurrent Neural Networks. CoRR abs/1703.01898 (2017) - [i35]Kazuya Kawakami, Chris Dyer, Phil Blunsom:
Learning to Create and Reuse Words in Open-Vocabulary Neural Language Modeling. CoRR abs/1704.06986 (2017) - [i34]Jan Buys, Phil Blunsom:
Robust Incremental Neural Semantic Graph Parsing. CoRR abs/1704.07092 (2017) - [i33]Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom:
Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems. CoRR abs/1705.04146 (2017) - [i32]Tsung-Hsien Wen, Yishu Miao, Phil Blunsom, Steve J. Young:
Latent Intention Dialogue Models. CoRR abs/1705.10229 (2017) - [i31]Yishu Miao, Edward Grefenstette, Phil Blunsom:
Discovering Discrete Latent Topics with Neural Variational Inference. CoRR abs/1706.00359 (2017) - [i30]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:
Grounded Language Learning in a Simulated 3D World. CoRR abs/1706.06551 (2017) - [i29]Gábor Melis, Chris Dyer, Phil Blunsom:
On the State of the Art of Evaluation in Neural Language Models. CoRR abs/1707.05589 (2017) - [i28]Felix Hill, Karl Moritz Hermann, Phil Blunsom, Stephen Clark:
Understanding Grounded Language Learning Agents. CoRR abs/1710.09867 (2017) - [i27]Tomás Kociský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette:
The NarrativeQA Reading Comprehension Challenge. CoRR abs/1712.07040 (2017) - [i26]Phil Blunsom, Kyunghyun Cho, Chris Dyer, Hinrich Schütze:
From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17042). Dagstuhl Reports 7(1): 129-157 (2017) - 2016
- [j9]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:
Hybrid computing using a neural network with dynamic external memory. Nat. 538(7626): 471-476 (2016) - [c56]Wang Ling, Phil Blunsom, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Fumin Wang, Andrew W. Senior:
Latent Predictor Networks for Code Generation. ACL (1) 2016 - [c55]Yishu Miao, Phil Blunsom:
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. EMNLP 2016: 319-328 - [c54]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. EMNLP 2016: 1078-1087 - [c53]Lei Yu, Jan Buys, Phil Blunsom:
Online Segment to Segment Neural Transduction. EMNLP 2016: 1307-1316 - [c52]Yishu Miao, Lei Yu, Phil Blunsom:
Neural Variational Inference for Text Processing. ICML 2016: 1727-1736 - [c51]Tim Rocktäschel, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Phil Blunsom:
Reasoning about Entailment with Neural Attention. ICLR (Poster) 2016 - [e2]Phil Blunsom, Kyunghyun Cho, Shay B. Cohen, Edward Grefenstette, Karl Moritz Hermann, Laura Rimell, Jason Weston, Scott Wen-tau Yih:
Proceedings of the 1st Workshop on Representation Learning for NLP, Rep4NLP@ACL 2016, Berlin, Germany, August 11, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-04-3 [contents] - [i25]Wang Ling, Edward Grefenstette, Karl Moritz Hermann, Tomás Kociský, Andrew W. Senior, Fumin Wang, Phil Blunsom:
Latent Predictor Networks for Code Generation. CoRR abs/1603.06744 (2016) - [i24]Jeremy Appleyard, Tomás Kociský, Phil Blunsom:
Optimizing Performance of Recurrent Neural Networks on GPUs. CoRR abs/1604.01946 (2016) - [i23]Yishu Miao, Phil Blunsom:
Language as a Latent Variable: Discrete Generative Models for Sentence Compression. CoRR abs/1609.07317 (2016) - [i22]Lei Yu, Jan Buys, Phil Blunsom:
Online Segment to Segment Neural Transduction. CoRR abs/1609.08194 (2016) - [i21]Tomás Kociský, Gábor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann:
Semantic Parsing with Semi-Supervised Sequential Autoencoders. CoRR abs/1609.09315 (2016) - [i20]Zichao Yang, Phil Blunsom, Chris Dyer, Wang Ling:
Reference-Aware Language Models. CoRR abs/1611.01628 (2016) - [i19]Lei Yu, Phil Blunsom, Chris Dyer, Edward Grefenstette, Tomás Kociský:
The Neural Noisy Channel. CoRR abs/1611.02554 (2016) - [i18]Dani Yogatama, Phil Blunsom, Chris Dyer, Edward Grefenstette, Wang Ling:
Learning to Compose Words into Sentences with Reinforcement Learning. CoRR abs/1611.09100 (2016) - 2015
- [j8]Zhuoling Xiao, Hongkai Wen, Andrew Markham, Niki Trigoni, Phil Blunsom, Jeff Frolik:
Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength. IEEE Trans. Wirel. Commun. 14(3): 1689-1702 (2015) - [c50]Jan Buys, Phil Blunsom:
Generative Incremental Dependency Parsing with Neural Networks. ACL (2) 2015: 863-869 - [c49]Jan Buys, Phil Blunsom:
A Bayesian Model for Generative Transition-based Dependency Parsing. DepLing 2015: 58-67 - [c48]Alex Wilson, Phil Blunsom, Andrew D. Ker:
Detection of Steganographic Techniques on Twitter. EMNLP 2015: 2564-2569 - [c47]Paul Baltescu, Phil Blunsom:
Pragmatic Neural Language Modelling in Machine Translation. HLT-NAACL 2015: 820-829 - [c46]Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom:
Teaching Machines to Read and Comprehend. NIPS 2015: 1693-1701 - [c45]Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom:
Learning to Transduce with Unbounded Memory. NIPS 2015: 1828-1836 - [e1]Phil Blunsom, Shay B. Cohen, Paramveer S. Dhillon, Percy Liang:
Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, VS@NAACL-HLT 2015, June 5, 2015, Denver, Colorado, USA. The Association for Computational Linguistics 2015, ISBN 978-1-941643-46-4 [contents] - [i17]Edward Grefenstette, Karl Moritz Hermann, Mustafa Suleyman, Phil Blunsom:
Learning to Transduce with Unbounded Memory. CoRR abs/1506.02516 (2015) - [i16]Karl Moritz Hermann, Tomás Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom:
Teaching Machines to Read and Comprehend. CoRR abs/1506.03340 (2015) - [i15]Jan Buys, Phil Blunsom:
A Bayesian Model for Generative Transition-based Dependency Parsing. CoRR abs/1506.04334 (2015) - [i14]Yishu Miao, Lei Yu, Phil Blunsom:
Neural Variational Inference for Text Processing. CoRR abs/1511.06038 (2015) - 2014
- [j7]Paul Baltescu, Phil Blunsom:
A Fast and Simple Online Synchronous Context Free Grammar Extractor. Prague Bull. Math. Linguistics 102: 17-26 (2014) - [j6]Austin Matthews, Paul Baltescu, Phil Blunsom, Alon Lavie, Chris Dyer:
Tree Transduction Tools for cdec. Prague Bull. Math. Linguistics 102: 27-36 (2014) - [j5]Paul Baltescu, Phil Blunsom, Hieu Hoang:
OxLM: A Neural Language Modelling Framework for Machine Translation. Prague Bull. Math. Linguistics 102: 81-92 (2014) - [c44]Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom:
New Directions in Vector Space Models of Meaning. ACL (Tutorial Abstracts) 2014: 8 - [c43]Karl Moritz Hermann, Phil Blunsom:
Multilingual Models for Compositional Distributed Semantics. ACL (1) 2014: 58-68 - [c42]Tomás Kociský, Karl Moritz Hermann, Phil Blunsom:
Learning Bilingual Word Representations by Marginalizing Alignments. ACL (2) 2014: 224-229 - [c41]Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom:
A Convolutional Neural Network for Modelling Sentences. ACL (1) 2014: 655-665 - [c40]Gregory Dubbin, Phil Blunsom:
Modelling the Lexicon in Unsupervised Part of Speech Induction. EACL 2014: 116-125 - [c39]Eva Hasler, Phil Blunsom, Philipp Koehn, Barry Haddow:
Dynamic Topic Adaptation for Phrase-based MT. EACL 2014: 328-337 - [c38]Jan A. Botha, Phil Blunsom:
Compositional Morphology for Word Representations and Language Modelling. ICML 2014: 1899-1907 - [c37]Alex Wilson, Phil Blunsom, Andrew D. Ker:
Linguistic steganography on Twitter: hierarchical language modeling with manual interaction. Media Watermarking, Security, and Forensics 2014: 902803 - [c36]Karl Moritz Hermann, Phil Blunsom:
A Simple Model for Learning Multilingual Compositional Semantics. ICLR 2014 - [i13]Gregory Dubbin, Phil Blunsom:
Modelling the Lexicon in Unsupervised Part of Speech Induction. CoRR abs/1402.6516 (2014) - [i12]Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom:
A Convolutional Neural Network for Modelling Sentences. CoRR abs/1404.2188 (2014) - [i11]Karl Moritz Hermann, Phil Blunsom:
Multilingual Models for Compositional Distributed Semantics. CoRR abs/1404.4641 (2014) - [i10]Edward Grefenstette, Phil Blunsom, Nando de Freitas, Karl Moritz Hermann:
A Deep Architecture for Semantic Parsing. CoRR abs/1404.7296 (2014) - [i9]Tomás Kociský, Karl Moritz Hermann, Phil Blunsom:
Learning Bilingual Word Representations by Marginalizing Alignments. CoRR abs/1405.0947 (2014) - [i8]Jan A. Botha, Phil Blunsom:
Compositional Morphology for Word Representations and Language Modelling. CoRR abs/1405.4273 (2014) - [i7]Misha Denil, Alban Demiraj, Nal Kalchbrenner, Phil Blunsom, Nando de Freitas:
Modelling, Visualising and Summarising Documents with a Single Convolutional Neural Network. CoRR abs/1406.3830 (2014) - [i6]Dimitrios Kotzias, Misha Denil, Phil Blunsom, Nando de Freitas:
Deep Multi-Instance Transfer Learning. CoRR abs/1411.3128 (2014) - [i5]Lei Yu, Karl Moritz Hermann, Phil Blunsom, Stephen Pulman:
Deep Learning for Answer Sentence Selection. CoRR abs/1412.1632 (2014) - [i4]Paul Baltescu, Phil Blunsom:
Pragmatic Neural Language Modelling in Machine Translation. CoRR abs/1412.7119 (2014) - [i3]Yishu Miao, Ziyu Wang, Phil Blunsom:
Bayesian Optimisation for Machine Translation. CoRR abs/1412.7180 (2014) - 2013
- [c35]Karl Moritz Hermann, Edward Grefenstette, Phil Blunsom:
"Not not bad" is not "bad": A distributional account of negation. CVSM@ACL 2013: 74-82 - [c34]Nal Kalchbrenner, Phil Blunsom:
Recurrent Convolutional Neural Networks for Discourse Compositionality. CVSM@ACL 2013: 119-126 - [c33]Karl Moritz Hermann, Phil Blunsom:
The Role of Syntax in Vector Space Models of Compositional Semantics. ACL (1) 2013: 894-904 - [c32]Pengyu Wang, Phil Blunsom:
Collapsed Variational Bayesian Inference for Hidden Markov Models. AISTATS 2013: 599-607 - [c31]Pengyu Wang, Phil Blunsom:
Collapsed Variational Bayesian Inference for PCFGs. CoNLL 2013: 173-182 - [c30]Jan A. Botha, Phil Blunsom:
Adaptor Grammars for Learning Non-Concatenative Morphology. EMNLP 2013: 345-356 - [c29]Nal Kalchbrenner, Phil Blunsom:
Recurrent Continuous Translation Models. EMNLP 2013: 1700-1709 - [c28]