Phil Blunsom : Publications
|
[1] |
The Role of Syntax in Vector Space Models of Compositional Semantics Karl Moritz Hermann and Phil Blunsom In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics. Forthcoming |
|
[2] |
On Assessing the Accuracy of Positioning Systems in Indoor Environments Hongkai Wen‚ Zhuoling Xiao‚ Niki Trigoni and Phil Blunsom In 10th European Conference on Wireless Sensor Networks (EWSN'13). Ghent‚ Belgium. 2013. |
|
[3] |
A Systematic Bayesian Treatment of the IBM Alignment Models Yarin Gal and Phil Blunsom In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. Association for Computational Linguistics. 2013. |
|
[4] |
Collapsed Variational Bayesian Inference for Hidden Markov Models Pengyu Wang and Phil Blunsom In AISTATS. 2013. |
|
[5] |
A Bayesian Model for Learning SCFGs with Discontiguous Rules Abby Levenberg‚ Chris Dyer and Phil Blunsom In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Pages 223–232. Association for Computational Linguistics. July, 2012. |
|
[6] |
The pascal challenge on grammar induction Douwe Gelling‚ Trevor Cohn‚ Phil Blunsom and Joao Graça In Proceedings of the NAACL−HLT Workshop on the Induction of Linguistic Structure. Pages 64–80. Association for Computational Linguistics. June, 2012. |
|
[7] |
Bayesian Language Modelling of German Compounds Jan A. Botha‚ Chris Dyer and Phil Blunsom In Proceedings of the 24th International Conference on Computational Linguistics (COLING). Pages 341–356. Mumbai‚ India. December, 2012. The COLING 2012 Organizing Committee. |
|
[8] |
Learning Semantics and Selectional Preference of Adjective−Noun Pairs Karl Moritz Hermann‚ Chris Dyer‚ Phil Blunsom and Stephen Pulman In *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). Pages 70–74. Montréal‚ Canada. , 2012. Association for Computational Linguistics. Details | BibTeX | Download (pdf) | Link |
|
[9] |
An Unsupervised Ranking Model for Noun−Noun Compositionality Karl Moritz Hermann‚ Phil Blunsom and Stephen Pulman In *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). Pages 132–141. Montréal‚ Canada. , 2012. Association for Computational Linguistics. Details | BibTeX | Download (pdf) | Link |
|
[10] |
Unsupervised part of speech inference with particle filters Gregory Dubbin and Phil Blunsom In Proceedings of the NAACL−HLT Workshop on the Induction of Linguistic Structure. Pages 47–54. Association for Computational Linguistics. 2012. |
|
[11] |
An Unsupervised Ranking Model for Noun−Noun Compositionality Karl Moritz Hermann‚ Phil Blunsom and Stephen Pulman In *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). Pages 132–141. Montréal‚ Canada. , 2012. Association for Computational Linguistics. |
|
[12] |
Learning Semantics and Selectional Preference of Adjective−Noun Pairs Karl Moritz Hermann‚ Chris Dyer‚ Phil Blunsom and Stephen Pulman In *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). Pages 70–74. Montréal‚ Canada. , 2012. Association for Computational Linguistics. |
|
[13] |
Unsupervised Bayesian Part of Speech Inference with Particle Gibbs Gregory Dubbin and Phil Blunsom In N. Cristianini P. Flach T. De Bie, editor, Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD). Bristol‚ UK. , 2012. Springer. |
|
[14] |
A Hierarchical Pitman−Yor Process HMM for Unsupervised Part of Speech Induction Phil Blunsom and Trevor Cohn In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. Pages 865–874. Portland‚ Oregon‚ USA. June, 2011. Association for Computational Linguistics. |
|
[15] |
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing Phil Blunsom and Trevor Cohn In EMNLP 2010. October, 2010. |
|
[16] |
Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing Phil Blunsom and Trevor Cohn In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Pages 1204–1213. Cambridge‚ MA. October, 2010. Association for Computational Linguistics. |
|
[17] |
Inducing Tree−Substitution Grammars Trevor Cohn‚ Phil Blunsom and Sharon Goldwater In Journal of Machine Learning Research. Pages 3053–3096. 2010. |
|
[18] |
Monte Carlo techniques for phrase−based translation Abhishek Arun‚ Chris Dyer‚ Barry Haddow‚ Phil Blunsom‚ Adam Lopez and Philipp Koehn In Special Issue of Machine Translation Journal. 2010. |
|
[19] |
Metrics for MT Evaluation: Evaluating Reordering Alexandra Birch‚ Phil Blunsom and Miles Osborne In Machine Translation. 2010. |
|
[20] |
cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models Chris Dyer‚ Adam Lopez‚ Juri Ganitkevitch‚ Johnathan Weese‚ Ferhan Ture‚ Phil Blunsom‚ Hendra Setiawan‚ Vladimir Eidelman and Philip Resnik In Proceedings of the ACL 2010 System Demonstrations. Pages 7–12. 2010. |
|
[21] |
BLOCKED INFERENCE IN BAYESIAN TREE SUBSTITUTION GRAMMARS Trevor Cohn and Phil Blunsom In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. Uppsala‚ Sweden. 2010. |
|
[22] |
A Gibbs Sampler for Phrasal Synchronous Grammar Induction Phil Blunsom‚ Trevor Cohn‚ Chris Dyer and Miles Osborne In Proc. of the Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL/IJCNLP−09). Pages 782–790. Singapore. August, 2009. |
|
[23] |
A Bayesian Model of Syntax−Directed Tree to String Grammar Induction Trevor Cohn and Phil Blunsom In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Pages 352–361. Singapore. August, 2009. Association for Computational Linguistics. |
|
[24] |
A Note on the Implementation of Hierarchical Dirichlet Processes Phil Blunsom‚ Trevor Cohn‚ Sharon Goldwater and Mark Johnson In Proceedings of the ACL−IJCNLP 2009 Conference Short Papers. Pages 337–340. Suntec‚ Singapore. August, 2009. Association for Computational Linguistics. |
|
[25] |
Monte Carlo inference and maximization for phrase−based translation Abhishek Arun‚ Chris Dyer‚ Barry Haddow‚ Phil Blunsom‚ Adam Lopez and Philipp Koehn In CoNLL '09: Proceedings of the Thirteenth Conference on Computational Natural Language Learning. Pages 102–110. Morristown‚ NJ‚ USA. 2009. Association for Computational Linguistics. |
|
[26] |
Inducing compact but accurate tree−substitution grammars Trevor Cohn‚ Sharon Goldwater and Phil Blunsom In NAACL '09: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics. Pages 548–556. Morristown‚ NJ‚ USA. 2009. Association for Computational Linguistics. |
|
[27] |
A Discriminative Latent Variable Model for Statistical Machine Translation Phil Blunsom‚ Trevor Cohn and Miles Osborne In Proc. of the 46th Annual Conference of the Association for Computational Linguistics: Human Language Technologies (ACL−08:HLT). Pages 200–208. Columbus‚ Ohio. June, 2008. |
|
[28] |
Bayesian Synchronous Grammar Induction Phil Blunsom‚ Trevor Cohn and Miles Osborne In Proceedings of NIPS 21. Vancouver‚ Canada. December, 2008. |
|
[29] |
Probabilistic Inference for Machine Translation Phil Blunsom and Miles Osborne In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing. Pages 215–223. Honolulu‚ Hawaii. October, 2008. |
|
[30] |
Bayesian Synchronous Grammar Induction Phil Blunsom‚ Trevor Cohn and Miles Osborne In D. Koller‚ D. Schuurmans‚ Y. Bengio and L. Bottou, editors, Advances in Neural Information Processing Systems 21. Pages 161–168. 2008. |
|
[31] |
Discriminative Word Alignment with Conditional Random Fields Phil Blunsom and Trevor Cohn In Proc. of the 44th Annual Meeting of the ACL and 21st International Conference on Computational Linguistics (COLING/ACL−2006). Pages 65–72. Sydney‚ Australia. July, 2006. |
|
[32] |
Multilingual Deep Lexical Acquisition for HPSGs via Supertagging Phil Blunsom and Timothy Baldwin In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing. Pages 164–171. Sydney‚ Australia. July, 2006. |
|
[33] |
Question classification with log−linear models Phil Blunsom‚ Krystle Kocik and James R. Curran In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. Pages 615–616. New York‚ NY‚ USA. 2006. ACM. Details | BibTeX | DOI (http://doi.acm.org/10.1145/1148170.1148282) |
|
[34] |
Semantic Role Labelling with Tree Conditional Random Fields Trevor Cohn and Philip Blunsom In Proc. of the 9th Conference on Natural Language Learning (CoNLL−2005). Pages 169–172. Ann Arbor‚ Michigan. June, 2005. |
|
[35] |
Maximum Entropy Markov models for semantic role labelling Phil Blunsom In Proc. of the Australasian Language Technology Workshop 2004. Pages 109–116. Sydney‚ Australia. 2005. |