🧑‍🔬 Phil Blunsom — all works

32 works · ← Phil Blunsom

1. Teaching Machines to Read and ComprehendarXiv:1506.03340Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.2015 · 3,858 citations
2. Recurrent Continuous Translation ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Nal Kalchbrenner, Phil Blunsom2013 · 1,631 citations
3. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.English · 1,042 citations
4. A Convolutional Neural Network for Modelling SentencesarXiv:1404.2188Nal Kalchbrenner, Edward Grefenstette, Phil Blunsom2014 · 859 citations
5. Program Induction by Rationale Generation: Learning to Solve and Explain Algebraic Word Problems ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetWang Ling et al.2017 · 810 citations
6. Reasoning about Entailment with Neural AttentionarXiv:1509.06664Tim Rocktaschel, Edward Grefenstette, Karl Moritz Hermann, et al.2015 · 802 citations
7. e-SNLI: Natural Language Inference with Natural Language ExplanationsarXiv:1812.01193Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, et al.2018 · 622 citations
8. Latent Predictor Networks for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Wang Ling, Phil Blunsom, Edward Grefenstette, et al.2016 · 393 citations
9. Multilingual Models for Compositional Distributed SemanticsAnnual Meeting of the Association for Computational Linguistics (ACL)Karl Moritz Hermann, Phil Blunsom2014 · 377 citations
10. cdec: A Decoder, Alignment, and Learning Framework for Finite-State and Context-Free Translation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Dyer, Adam Lopez, Juri Ganitkevitch, et al.2010 · 374 citations
11. Language as a Latent Variable: Discrete Generative Models for Sentence CompressionConference on Empirical Methods in Natural Language Processing (EMNLP)Yishu Miao, Phil Blunsom2016 · 262 citations
12. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelarXiv:2402.07827Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 253 citations
13. Recurrent Convolutional Neural Networks for Discourse CompositionalityarXiv:1306.3584Nal Kalchbrenner, Phil Blunsom2013 · 253 citations
14. Learning and Evaluating General Linguistic IntelligencearXiv:1901.11373Dani Yogatama, Cyprien de Masson d'Autume, Jerome Connor, et al.2019 · 248 citations
15. LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Adhiguna Kuncoro, Chris Dyer, John Hale, et al.2018 · 208 citations
16. A Discriminative Latent Variable Model for Statistical Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Phil Blunsom, Trevor Cohn, Miles Osborne2008 · 180 citations
17. A Gibbs Sampler for Phrasal Synchronous Grammar Induction ↗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 yetPhil Blunsom et al.2009 · 153 citations
18. Robust Incremental Neural Semantic Graph Parsing ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetJan Buys, Phil Blunsom2017 · 119 citations
19. Online Segment to Segment Neural Transduction ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetLei Yu, Jan Buys, Phil Blunsom2016 · 116 citations
20. Reference-Aware Language Models ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetZichao Yang et al.2017 · 113 citations
21. Learning Robust and Multilingual Speech Representations ↗Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yetKazuya Kawakami et al.2020 · 102 citations
22. Semantic Parsing with Semi-Supervised Sequential Autoencoders ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetTomáš Kočiský et al.2016 · 98 citations
23. Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at ScaleTransactions of the Association for Computational Linguistics (TACL)Laurent Sartran, Samuel Barrett, Adhiguna Kuncoro, et al.2022 · 72 citations
24. Better Document-Level Machine Translation with Bayes' RuleTransactions of the Association for Computational Linguistics (TACL)Lei Yu, Laurent Sartran, Wojciech Stokowiec, et al.2020 · 72 citations
25. MotionTransformer: Transferring Neural Inertial Tracking between Domains ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetChanghao Chen et al.2019 · 62 citations
26. A Bayesian Model of Syntax-Directed Tree to String Grammar Induction ↗Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing · no summary yetTrevor Cohn, Phil Blunsom2009 · 42 citations
27. WikiCREM: A Large Unsupervised Corpus for Coreference ResolutionConference on Empirical Methods in Natural Language Processing (EMNLP)Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, et al.2019 · 41 citations
28. A Bayesian Model for Learning SCFGs with Discontiguous Rules ↗Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning · no summary yetAbby Levenberg, Chris Dyer, Phil Blunsom2012 · 39 citations
29. Inducing Synchronous Grammars with Slice Sampling ↗Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics · no summary yetPhil Blunsom, Trevor Cohn2010 · 39 citations
30. Oxford at SemEval-2017 Task 9: Neural AMR Parsing with Pointer-Augmented Attention ↗Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) · no summary yetJan Buys, Phil Blunsom2017 · 23 citations
31. Visual Grounding in Video for Unsupervised Word Translation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGunnar 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) ↗DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · no summary yetPhil Blunsom et al.2017 · 7 citations

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