---
title: "Phil Blunsom — all works — Elamur Research"
description: "All 32 works of Phil Blunsom in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/phil-blunsom/works/"
---
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# Phil Blunsom — all works

32 works · [← Phil Blunsom](https://md.research.elamur.ai/free/en/authors/phil-blunsom/)

1. [**Teaching Machines to Read and Comprehend arXiv:1506.03340**Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.*2015 · 3,858 citations*](https://md.research.elamur.ai/free/en/papers/hermann-2015-teaching-machines-read-comprehend/)
2. **[Recurrent Continuous Translation Models](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2013-recurrent-continuous-translation-models/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Nal Kalchbrenner, Phil Blunsom*2013 · 1,631 citations*
3. [**The NarrativeQA Reading Comprehension Challenge**Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.*English · 1,042 citations*](https://md.research.elamur.ai/free/en/papers/kocisky-2018-narrativeqa-reading-comprehension-challenge/)
4. [**A Convolutional Neural Network for Modelling Sentences arXiv:1404.2188**Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom*2014 · 859 citations*](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2014-convolutional-neural-network-modelling-sentences/)
5. **[Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ↗](https://aclanthology.org/P17-1015/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Wang Ling et al.*2017 · 810 citations*
6. [**Reasoning about Entailment with Neural Attention arXiv:1509.06664**Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.*2015 · 802 citations*](https://md.research.elamur.ai/free/en/papers/rocktaschel-2015-reasoning-about-entailment-neural-attention/)
7. [**e-SNLI: Natural Language Inference with Natural Language Explanations arXiv:1812.01193**Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.*2018 · 622 citations*](https://md.research.elamur.ai/free/en/papers/camburu-2018-e-snli-natural-language-inference/)
8. **[Latent Predictor Networks for Code Generation](https://md.research.elamur.ai/free/en/papers/ling-2016-latent-predictor-networks-code-generation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wang Ling, Phil Blunsom, Edward Grefenstette, et al.*2016 · 393 citations*
9. **[Multilingual Models for Compositional Distributed Semantics](https://md.research.elamur.ai/free/en/papers/hermann-2014-multilingual-models-compositional-distributed-semantics/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Karl Moritz Hermann, Phil Blunsom*2014 · 377 citations*
10. **[cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation Models](https://md.research.elamur.ai/free/en/papers/dyer-2010-cdec-decoder-alignment-learning-framework/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chris Dyer, Adam Lopez, Juri Ganitkevitch, et al.*2010 · 374 citations*
11. **[Language as a Latent Variable: Discrete Generative Models for Sentence Compression](https://md.research.elamur.ai/free/en/papers/miao-2016-language-as-latent-variable-discrete/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yishu Miao, Phil Blunsom*2016 · 262 citations*
12. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model arXiv:2402.07827**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 253 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
13. [**Recurrent Convolutional Neural Networks for Discourse Compositionality arXiv:1306.3584**Nal Kalchbrenner, Phil Blunsom*2013 · 253 citations*](https://md.research.elamur.ai/free/en/papers/kalchbrenner-2013-recurrent-convolutional-neural-networks-discourse/)
14. [**Learning and Evaluating General Linguistic Intelligence arXiv:1901.11373**Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, et al.*2019 · 248 citations*](https://md.research.elamur.ai/free/en/papers/yogatama-2019-learning-evaluating-general-linguistic-intelligence/)
15. **[LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better](https://md.research.elamur.ai/free/en/papers/kuncoro-2018-lstms-can-learn-syntax-sensitive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Adhiguna Kuncoro, Chris Dyer, John Hale, et al.*2018 · 208 citations*
16. **[A Discriminative Latent Variable Model for Statistical Machine Translation](https://md.research.elamur.ai/free/en/papers/blunsom-2008-discriminative-latent-variable-model-statistical/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Phil Blunsom, Trevor Cohn, Miles Osborne*2008 · 180 citations*
17. **[A Gibbs Sampler for Phrasal Synchronous Grammar Induction ↗](https://aclanthology.org/P09-1088/) 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 · no summary yet**Phil Blunsom et al.*2009 · 153 citations*
18. **[Robust Incremental Neural Semantic Graph Parsing ↗](https://aclanthology.org/P17-1112/) Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Jan Buys, Phil Blunsom*2017 · 119 citations*
19. **[Online Segment to Segment Neural Transduction ↗](https://aclanthology.org/D16-1138/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Lei Yu, Jan Buys, Phil Blunsom*2016 · 116 citations*
20. **[Reference-Aware Language Models ↗](https://aclanthology.org/D17-1197/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Zichao Yang et al.*2017 · 113 citations*
21. **[Learning Robust and Multilingual Speech Representations ↗](https://aclanthology.org/2020.findings-emnlp.106/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Kazuya Kawakami et al.*2020 · 102 citations*
22. **[Semantic Parsing with Semi-Supervised Sequential Autoencoders ↗](https://aclanthology.org/D16-1116/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Tomáš Kočiský et al.*2016 · 98 citations*
23. **[Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale](https://md.research.elamur.ai/free/en/papers/sartran-2022-transformer-grammars-augmenting-transformer-language/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.*2022 · 72 citations*
24. **[Better Document-Level Machine Translation with Bayes' Rule](https://md.research.elamur.ai/free/en/papers/yu-2020-better-document-level-machine-translation/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Lei Yu, Laurent Sartran, Wojciech Stokowiec, et al.*2020 · 72 citations*
25. **[MotionTransformer: Transferring Neural Inertial Tracking between Domains ↗](https://doi.org/10.1609/aaai.v33i01.33018009) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Changhao Chen et al.*2019 · 62 citations*
26. **[A Bayesian Model of Syntax-Directed Tree to String Grammar Induction ↗](https://aclanthology.org/D09-1037/) Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing · no summary yet**Trevor Cohn, Phil Blunsom*2009 · 42 citations*
27. **[WikiCREM: A Large Unsupervised Corpus for Coreference Resolution](https://md.research.elamur.ai/free/en/papers/kocijan-2019-wikicrem-large-unsupervised-corpus-coreference/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.*2019 · 41 citations*
28. **[A Bayesian Model for Learning SCFGs with Discontiguous Rules ↗](https://aclanthology.org/D12-1021/) Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning · no summary yet**Abby Levenberg, Chris Dyer, Phil Blunsom*2012 · 39 citations*
29. **[Inducing Synchronous Grammars with Slice Sampling ↗](https://aclanthology.org/N10-1028/) Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yet**Phil Blunsom, Trevor Cohn*2010 · 39 citations*
30. **[Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention ↗](https://aclanthology.org/S17-2157/) Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) · no summary yet**Jan Buys, Phil Blunsom*2017 · 23 citations*
31. **[Visual Grounding in Video for Unsupervised Word Translation ↗](https://doi.org/10.1109/cvpr42600.2020.01086) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Gunnar A. Sigurdsson et al.*2020 · 18 citations*
32. **[From Characters to Understanding Natural Language (C2NLU): Robust End-to-End Deep Learning for NLP (Dagstuhl Seminar 17,042) ↗](https://doi.org/10.4230/dagrep.7.1.129) DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yet**Phil Blunsom et al.*2017 · 7 citations*