Computational Linguistics: Publications

Books

• [1]

  Quantum Physics and Linguistics: A Compositional‚ Diagrammatic Discourse

  Chris Heunen‚ Mehrnoosh Sadrzadeh and Edward Grefenstette, editors

  Oxford University Press. February, 2013.

  Details about Quantum Physics and Linguistics: A Compositional‚ Diagrammatic Discourse | BibTeX data for Quantum Physics and Linguistics: A Compositional‚ Diagrammatic Discourse | Link to Quantum Physics and Linguistics: A Compositional‚ Diagrammatic Discourse

Book chapters

• [1]

  Collapsed Variational Bayesian Inference for Hidden Markov Models

  Pengyu Wang and Phil Blunsom

  In AISTATS. 2013.

  Details about Collapsed Variational Bayesian Inference for Hidden Markov Models | BibTeX data for Collapsed Variational Bayesian Inference for Hidden Markov Models

• [2]

  Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras

  Dimitri Kartsaklis‚ Mehrnoosh Sadrzadeh‚ Stephen Pulman and Bob Coecke

  In A. Chubb J. Eskandarian and V. Harizanov, editors, Logic and Algebraic Structures in Quantum Computing and Information. Cambridge University Press. 2013.

  To appear

  Details about Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras | BibTeX data for Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras | Download  (pdf) of Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras

• [3]

  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.

  Details about Bayesian Synchronous Grammar Induction | BibTeX data for Bayesian Synchronous Grammar Induction

Journal papers

• [1]

  New Directions in Vector Space Models of Meaning

  Edward Grefenstette‚ Karl Moritz Hermann‚ Georgiana Dinu and Phil Blunsom

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

  Details about New Directions in Vector Space Models of Meaning | BibTeX data for New Directions in Vector Space Models of Meaning | Download (pdf) of New Directions in Vector Space Models of Meaning

• [2]

  A Deep Architecture for Semantic Parsing

  Edward Grefenstette‚ Phil Blunsom‚ Nando de Freitas and Karl Moritz Hermann

  In Proceedings of the ACL 2014 Workshop on Semantic Parsing. June, 2014.

  Details about A Deep Architecture for Semantic Parsing | BibTeX data for A Deep Architecture for Semantic Parsing | Link to A Deep Architecture for Semantic Parsing

• [3]

  Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning

  Edward Grefenstette and Mehrnoosh Sadrzadeh

  In Computational Linguistics. 2014.

  Details about Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning | BibTeX data for Concrete Models and Empirical Evaluations for the Categorical Compositional Distributional Model of Meaning

• [4]

  A Convolutional Neural Network for Modelling Sentences

  Nal Kalchbrenner‚ Edward Grefenstette and Phil Blunsom

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

  Details about A Convolutional Neural Network for Modelling Sentences | BibTeX data for A Convolutional Neural Network for Modelling Sentences | Link to A Convolutional Neural Network for Modelling Sentences

• [5]

  A Type−Driven Tensor−Based Semantics for CCG

  Jean Maillard‚ Stephen Clark and Edward Grefenstette

  In EACL 2014 Type Theory and Natural Language Semantics Workshop. 2014.

  Details about A Type−Driven Tensor−Based Semantics for CCG | BibTeX data for A Type−Driven Tensor−Based Semantics for CCG | Link to A Type−Driven Tensor−Based Semantics for CCG

• [6]

  Compositional Operators in Distributional Semantics

  Dimitri Kartsaklis

  In Springer Science Reviews. April, 2014.

  Details about Compositional Operators in Distributional Semantics | BibTeX data for Compositional Operators in Distributional Semantics | Download  (pdf) of Compositional Operators in Distributional Semantics | DOI (10.1007/s40362-014-0017-z)

• [7]

  Tree Transduction Tools for cdec

  Austin Matthews‚ Paul Baltescu‚ Phil Blunsom‚ Alon Lavie and Chris Dyer

  In The Prague Bulletin of Mathematical Linguistics. Vol. 102. No. 1. Pages 27–36. October, 2014.

  Details about Tree Transduction Tools for cdec | BibTeX data for Tree Transduction Tools for cdec | Download (pdf) of Tree Transduction Tools for cdec

• [8]

  OxLM: A Neural Language Modelling Framework for Machine Translation

  Paul Baltescu‚ Phil Blunsom and Hieu Hoang

  In The Prague Bulletin of Mathematical Linguistics. Vol. 102. No. 1. Pages 81–92. October, 2014.

  Details about OxLM: A Neural Language Modelling Framework for Machine Translation | BibTeX data for OxLM: A Neural Language Modelling Framework for Machine Translation | Download (pdf) of OxLM: A Neural Language Modelling Framework for Machine Translation

• [9]

  A Fast and Simple Online Synchronous Context Free Grammar Extractor

  Paul Baltescu and Phil Blunsom

  In The Prague Bulletin of Mathematical Linguistics. Vol. 102. No. 1. Pages 17–26. October, 2014.

  Details about A Fast and Simple Online Synchronous Context Free Grammar Extractor | BibTeX data for A Fast and Simple Online Synchronous Context Free Grammar Extractor | Download (pdf) of A Fast and Simple Online Synchronous Context Free Grammar Extractor

• [10]

  Recurrent Convolutional Neural Networks for Discourse Compositionality

  Nal Kalchbrenner and Phil Blunsom

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

  Details about Recurrent Convolutional Neural Networks for Discourse Compositionality | BibTeX data for Recurrent Convolutional Neural Networks for Discourse Compositionality

• [11]

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

  Karl Moritz Hermann‚ Edward Grefenstette and Phil Blunsom

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

  Details about "Not not bad" is not "bad": A distributional account of negation | BibTeX data for "Not not bad" is not "bad": A distributional account of negation | Link to "Not not bad" is not "bad": A distributional account of negation

• [12]

  Multi−Step Regression Learning for Compositional Distributional Semantics

  Edward Grefenstette‚ Georgiana Dinu‚ Yao−Zhong Zhang‚ Mehrnoosh Sadrzadeh and Marco Baroni

  In Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013). 2013.

  Details about Multi−Step Regression Learning for Compositional Distributional Semantics | BibTeX data for Multi−Step Regression Learning for Compositional Distributional Semantics | Download (pdf) of Multi−Step Regression Learning for Compositional Distributional Semantics

• [13]

  Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors

  Edward Grefenstette

  In Proceedings of the Second Joint Conference on Lexical and Computational Semantics. 2013.

  Details about Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors | BibTeX data for Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors | Download (pdf) of Towards a Formal Distributional Semantics: Simulating Logical Calculi with Tensors

• [14]

  Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus

  Bob Coecke‚ Edward Grefenstette and Mehrnoosh Sadrzadeh

  In Annals of Pure and Applied Logic. 2013.

  Details about Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus | BibTeX data for Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus | Link to Lambek vs. Lambek: Functorial Vector Space Semantics and String Diagrams for Lambek Calculus

• [15]

  Experimenting with Transitive Verbs in a DisCoCat

  Edward Grefenstette and Mehrnoosh Sadrzadeh

  In Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics. 2011.

  Details about Experimenting with Transitive Verbs in a DisCoCat | BibTeX data for Experimenting with Transitive Verbs in a DisCoCat | Download (pdf) of Experimenting with Transitive Verbs in a DisCoCat

• [16]

  Concrete Sentence Spaces for Compositional Distributional Models of Meaning

  Edward Grefenstette‚ Mehrnoosh Sadrzadeh‚ Stephen Clark‚ Bob Coecke and Stephen Pulman

  In Proceedings of the 9th International Conference on Computational Semantics (IWCS11). Pages 125–134. 2011.

  Details about Concrete Sentence Spaces for Compositional Distributional Models of Meaning | BibTeX data for Concrete Sentence Spaces for Compositional Distributional Models of Meaning | Download (pdf) of Concrete Sentence Spaces for Compositional Distributional Models of Meaning

• [17]

  A Compositional Distributional Semantics‚ Two Concrete Constructions‚ and some Experimental Evaluations

  Mehrnoosh Sadrzadeh and Edward Grefenstette

  In Lecture Notes in Computer Science. Vol. 7052. Pages 35–47. 2011.

  Details about A Compositional Distributional Semantics‚ Two Concrete Constructions‚ and some Experimental Evaluations | BibTeX data for A Compositional Distributional Semantics‚ Two Concrete Constructions‚ and some Experimental Evaluations | Link to A Compositional Distributional Semantics‚ Two Concrete Constructions‚ and some Experimental Evaluations

• [18]

  Experimental Support for a Categorical Compositional Distributional Model of Meaning

  Edward Grefenstette and Mehrnoosh Sadrzadeh

  In Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing. 2011.

  Details about Experimental Support for a Categorical Compositional Distributional Model of Meaning | BibTeX data for Experimental Support for a Categorical Compositional Distributional Model of Meaning | Download (pdf) of Experimental Support for a Categorical Compositional Distributional Model of Meaning

• [19]

  Inducing Tree−Substitution Grammars

  Trevor Cohn‚ Phil Blunsom and Sharon Goldwater

  In Journal of Machine Learning Research. Pages 3053–3096. 2010.

  Details about Inducing Tree−Substitution Grammars | BibTeX data for Inducing Tree−Substitution Grammars

• [20]

  Metrics for MT Evaluation: Evaluating Reordering

  Alexandra Birch‚ Phil Blunsom and Miles Osborne

  In Machine Translation. 2010.

  Details about Metrics for MT Evaluation: Evaluating Reordering | BibTeX data for Metrics for MT Evaluation: Evaluating Reordering

• [21]

  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.

  Details about Monte Carlo techniques for phrase−based translation | BibTeX data for Monte Carlo techniques for phrase−based translation

• [22]

  Inducing Synchronous Grammars with Slice Sampling

  Phil Blunsom and Trevor Cohn

  In NAACL 2010. June, 2010.

  Details about Inducing Synchronous Grammars with Slice Sampling | BibTeX data for Inducing Synchronous Grammars with Slice Sampling | Download (pdf) of Inducing Synchronous Grammars with Slice Sampling

Conference papers

• [1]

  Investigating the Role or Prior Disambiguation in Deep−Learning Compositional Models of Meaning

  Jianpeng Cheng‚ Dimitri Kartsaklis and Edward Grefenstette

  In Learning Semantics workshop‚ NIPS 2014. Montreal‚ Canada. December, 2014.

  Details about Investigating the Role or Prior Disambiguation in Deep−Learning Compositional Models of Meaning | BibTeX data for Investigating the Role or Prior Disambiguation in Deep−Learning Compositional Models of Meaning | Download (pdf) of Investigating the Role or Prior Disambiguation in Deep−Learning Compositional Models of Meaning

• [2]

  Evaluating Neural Word Representations in Tensor−Based Compositional Settings

  Dmitrijs Milajevs‚ Dimitri Kartsaklis‚ Mehrnoosh Sadrzadeh and Matthew Purver

  In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP). Doha‚ Qatar. October, 2014. Association for Computational Linguistics.

  Details about Evaluating Neural Word Representations in Tensor−Based Compositional Settings | BibTeX data for Evaluating Neural Word Representations in Tensor−Based Compositional Settings | Download  (pdf) of Evaluating Neural Word Representations in Tensor−Based Compositional Settings | Download (pdf) of Evaluating Neural Word Representations in Tensor−Based Compositional Settings

• [3]

  Compositional Morphology for Word Representations and Language Modelling

  Jan A. Botha and Phil Blunsom

  In Proceedings of the 31st International Conference on Machine Learning (ICML). Beijing‚ China. June, 2014.

  *Award for best application paper*

  Details about Compositional Morphology for Word Representations and Language Modelling | BibTeX data for Compositional Morphology for Word Representations and Language Modelling | Download (pdf) of Compositional Morphology for Word Representations and Language Modelling

• [4]

  Modelling the Lexicon in Unsupervised Part of Speech Induction

  Gregory Dubbin and Phil Blunsom

  In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. Pages 116–125. Gothenburg‚ Sweden. April, 2014. Association for Computational Linguistics.

  Details about Modelling the Lexicon in Unsupervised Part of Speech Induction | BibTeX data for Modelling the Lexicon in Unsupervised Part of Speech Induction | Link to Modelling the Lexicon in Unsupervised Part of Speech Induction

• [5]

  Linguistic steganography on Twitter: hierarchical language modeling with manual interaction

  Alex Wilson‚ Phil Blunsom and Andrew D Ker

  In &T/SPIEIS Electronic Imaging. Pages 902803–902803. International Society for Optics and Photonics. 2014.

  Details about Linguistic steganography on Twitter: hierarchical language modeling with manual interaction | BibTeX data for Linguistic steganography on Twitter: hierarchical language modeling with manual interaction

• [6]

  A Study of Entanglement in a Categorical Framework of Natural Language

  Dimitri Kartsaklis and Mehrnoosh Sadrzadeh

  In Proceedings of the 11th Workshop on Quantum Physics and Logic (QPL). Kyoto‚ Japan. June, 2014.

  Details about A Study of Entanglement in a Categorical Framework of Natural Language | BibTeX data for A Study of Entanglement in a Categorical Framework of Natural Language | Download  (pdf) of A Study of Entanglement in a Categorical Framework of Natural Language

• [7]

  Learning Bilingual Word Representations by Marginalizing Alignments

  Tomáš Kočiský‚ Karl Moritz Hermann and Phil Blunsom

  In Proceedings of ACL. June, 2014.

  Details about Learning Bilingual Word Representations by Marginalizing Alignments | BibTeX data for Learning Bilingual Word Representations by Marginalizing Alignments | Link to Learning Bilingual Word Representations by Marginalizing Alignments

• [8]

  Resolving Lexical Ambiguity in Tensor Regression Models of Meaning

  Dimitri Kartsaklis‚ Nal Kalchbrenner and Mehrnoosh Sadrzadeh

  In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Vol. 2: Short Papers). Pages 212–217. Baltimore‚ USA. June, 2014. Association for Computational Linguistics.

  Details about Resolving Lexical Ambiguity in Tensor Regression Models of Meaning | BibTeX data for Resolving Lexical Ambiguity in Tensor Regression Models of Meaning | Download  (pdf) of Resolving Lexical Ambiguity in Tensor Regression Models of Meaning

• [9]

  Semantic Frame Identification with Distributed Word Representations

  Karl Moritz Hermann‚ Dipanjan Das‚ Jason Weston and Kuzman Ganchev

  In Proceedings of ACL. June, 2014.

  Details about Semantic Frame Identification with Distributed Word Representations | BibTeX data for Semantic Frame Identification with Distributed Word Representations | Link to Semantic Frame Identification with Distributed Word Representations

• [10]

  Multilingual Models for Compositional Distributional Semantics

  Karl Moritz Hermann and Phil Blunsom

  In Proceedings of ACL. June, 2014.

  Details about Multilingual Models for Compositional Distributional Semantics | BibTeX data for Multilingual Models for Compositional Distributional Semantics | Link to Multilingual Models for Compositional Distributional Semantics

• [11]

  Multilingual Distributed Representations without Word Alignment

  Karl Moritz Hermann and Phil Blunsom

  In Proceedings of ICLR. April, 2014.

  Details about Multilingual Distributed Representations without Word Alignment | BibTeX data for Multilingual Distributed Representations without Word Alignment | Link to Multilingual Distributed Representations without Word Alignment

• [12]

  Parsing Graphs with Hyperedge Replacement Grammars

  David Chiang‚ Jacob Andreas‚ Daniel Bauer‚ Karl Moritz Hermann‚ Bevan Jones and Kevin Knight

  In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Pages 924–932. Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.

  Details about Parsing Graphs with Hyperedge Replacement Grammars | BibTeX data for Parsing Graphs with Hyperedge Replacement Grammars | Link to Parsing Graphs with Hyperedge Replacement Grammars

• [13]

  Prior Disambiguation of Word Tensors for Constructing Sentence Vectors

  Dimitri Kartsaklis and Mehrnoosh Sadrzadeh

  In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP). Seattle‚ USA. October, 2013.

  Details about Prior Disambiguation of Word Tensors for Constructing Sentence Vectors | BibTeX data for Prior Disambiguation of Word Tensors for Constructing Sentence Vectors | Download  (pdf) of Prior Disambiguation of Word Tensors for Constructing Sentence Vectors

• [14]

  Adaptor Grammars for Learning Non−Concatenative Morphology

  Jan A. Botha and Phil Blunsom

  In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing. Pages 345−356. Seattle‚ Washington‚ USA. October, 2013. Association for Computational Linguistics.

  Details about Adaptor Grammars for Learning Non−Concatenative Morphology | BibTeX data for Adaptor Grammars for Learning Non−Concatenative Morphology | Download (pdf) of Adaptor Grammars for Learning Non−Concatenative Morphology

• [15]

  Collapsed Variational Bayesian Inference for PCFGs

  Pengyu Wang and Phil Blunsom

  In Proceedings of the Seventeenth Conference on Computational Natural Language Learning. Pages 173–182. Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.

  Details about Collapsed Variational Bayesian Inference for PCFGs | BibTeX data for Collapsed Variational Bayesian Inference for PCFGs | Link to Collapsed Variational Bayesian Inference for PCFGs

• [16]

  Recurrent Continuous Translation Models

  Nal Kalchbrenner and Phil Blunsom

  Seattle. October, 2013. Association for Computational Linguistics.

  Details about Recurrent Continuous Translation Models | BibTeX data for Recurrent Continuous Translation Models

• [17]

  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.

  Details about A Systematic Bayesian Treatment of the IBM Alignment Models | BibTeX data for A Systematic Bayesian Treatment of the IBM Alignment Models | Link to A Systematic Bayesian Treatment of the IBM Alignment Models

• [18]

  Separating Disambiguation from Composition in Distributional Semantics

  Dimitri Kartsaklis‚ Mehrnoosh Sadrzadeh and Stephen Pulman

  In Proceedings of 17th Conference on Natural Language Learning (CoNLL). Pages 114−123. Sofia‚ Bulgaria. August, 2013.

  Details about Separating Disambiguation from Composition in Distributional Semantics | BibTeX data for Separating Disambiguation from Composition in Distributional Semantics | Download  (pdf) of Separating Disambiguation from Composition in Distributional Semantics

• [19]

  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). Pages 894–904. Sofia‚ Bulgaria. August, 2013. Association for Computational Linguistics.

  Details about The Role of Syntax in Vector Space Models of Compositional Semantics | BibTeX data for The Role of Syntax in Vector Space Models of Compositional Semantics | Download (pdf) of The Role of Syntax in Vector Space Models of Compositional Semantics

• [20]

  Semantics−Based Machine Translation with Hyperedge Replacement Grammars

  Bevan Jones‚ Jacob Andreas‚ Daniel Bauer‚ Karl Moritz Hermann and Kevin Knight

  In Proceedings of COLING 2012. Pages 1359–1376. December, 2012.

  First four are joint first author in randomized order

  Details about Semantics−Based Machine Translation with Hyperedge Replacement Grammars | BibTeX data for Semantics−Based Machine Translation with Hyperedge Replacement Grammars | Link to Semantics−Based Machine Translation with Hyperedge Replacement Grammars

• [21]

  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.

  Details about The pascal challenge on grammar induction | BibTeX data for The pascal challenge on grammar induction

• [22]

  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.

  Details about A Bayesian Model for Learning SCFGs with Discontiguous Rules | BibTeX data for A Bayesian Model for Learning SCFGs with Discontiguous Rules

• [23]

  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.

  Details about Unsupervised part of speech inference with particle filters | BibTeX data for Unsupervised part of speech inference with particle filters

• [24]

  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. September, 2012. Springer.

  Details about Unsupervised Bayesian Part of Speech Inference with Particle Gibbs | BibTeX data for Unsupervised Bayesian Part of Speech Inference with Particle Gibbs

• [25]

  Hierarchical Bayesian Language Modelling for the Linguistically Informed

  Jan A. Botha

  In Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop (EACL−SRW). Pages 64–73. 2012.

  Best student paper prize

  Details about Hierarchical Bayesian Language Modelling for the Linguistically Informed | BibTeX data for Hierarchical Bayesian Language Modelling for the Linguistically Informed | Download (pdf) of Hierarchical Bayesian Language Modelling for the Linguistically Informed

• [26]

  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.

  Details about Bayesian Language Modelling of German Compounds | BibTeX data for Bayesian Language Modelling of German Compounds | Download (pdf) of Bayesian Language Modelling of German Compounds

• [27]

  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 about Learning Semantics and Selectional Preference of Adjective−Noun Pairs | BibTeX data for Learning Semantics and Selectional Preference of Adjective−Noun Pairs | Download  (pdf) of Learning Semantics and Selectional Preference of Adjective−Noun Pairs | Link to Learning Semantics and Selectional Preference of Adjective−Noun Pairs

• [28]

  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 about An Unsupervised Ranking Model for Noun−Noun Compositionality | BibTeX data for An Unsupervised Ranking Model for Noun−Noun Compositionality | Download  (pdf) of An Unsupervised Ranking Model for Noun−Noun Compositionality | Link to An Unsupervised Ranking Model for Noun−Noun Compositionality

• [29]

  A Unified Sentence Space for Categorical Distributional−Compositional Semantics: Theory and Experiments

  Dimitri Kartsaklis‚ Mehrnoosh Sadrzadeh and Stephen Pulman

  In Proceedings of 24th International Conference on Computational Linguistics (COLING): Posters. Pages 549−558. Mumbai‚ India. December, 2012.

  Details about A Unified Sentence Space for Categorical Distributional−Compositional Semantics: Theory and Experiments | BibTeX data for A Unified Sentence Space for Categorical Distributional−Compositional Semantics: Theory and Experiments | Download  (pdf) of A Unified Sentence Space for Categorical Distributional−Compositional Semantics: Theory and Experiments

• [30]

  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.

  Details about A Hierarchical Pitman−Yor Process HMM for Unsupervised Part of Speech Induction | BibTeX data for A Hierarchical Pitman−Yor Process HMM for Unsupervised Part of Speech Induction | Link to A Hierarchical Pitman−Yor Process HMM for Unsupervised Part of Speech Induction

• [31]

  Semantic Relatedness from Automatically Generated Semantic Networks

  Pia−Ramona Wojtinnek and Stephen Pulman

  In Johan Bos and Stephen Pulman, editors, Proceedings of the 9th International Conference on Computational Semantics (IWCS11). Pages 390−394. Oxford‚ UK. 2011. ACL SIGSEM. ACL.

  Details about Semantic Relatedness from Automatically Generated Semantic Networks | BibTeX data for Semantic Relatedness from Automatically Generated Semantic Networks | Download (pdf) of Semantic Relatedness from Automatically Generated Semantic Networks

• [32]

  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.

  Details about BLOCKED INFERENCE IN BAYESIAN TREE SUBSTITUTION GRAMMARS | BibTeX data for BLOCKED INFERENCE IN BAYESIAN TREE SUBSTITUTION GRAMMARS

• [33]

  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.

  Details about cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models | BibTeX data for cdec: A Decoder‚ Alignment‚ and Learning framework for finite−state and context−free translation models

• [34]

  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.

  Details about Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing | BibTeX data for Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing | Link to Unsupervised Induction of Tree Substitution Grammars for Dependency Parsing

• [35]

  Conceptual Knowledge Acquisition Using Automatically Generated Large−Scale Semantic Networks

  Pia−Ramona Wojtinnek‚ Brian Harrington‚ Sebastian Rudolph and Stephen Pulman

  In Proceedings of the 18th International Conference on Conceptual Structures. 2010.

  Details about Conceptual Knowledge Acquisition Using Automatically Generated Large−Scale Semantic Networks | BibTeX data for Conceptual Knowledge Acquisition Using Automatically Generated Large−Scale Semantic Networks

• [36]

  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.

  Details about A Note on the Implementation of Hierarchical Dirichlet Processes | BibTeX data for A Note on the Implementation of Hierarchical Dirichlet Processes | Link to A Note on the Implementation of Hierarchical Dirichlet Processes

• [37]

  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.

  Details about A Bayesian Model of Syntax−Directed Tree to String Grammar Induction | BibTeX data for A Bayesian Model of Syntax−Directed Tree to String Grammar Induction | Link to A Bayesian Model of Syntax−Directed Tree to String Grammar Induction

• [38]

  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.

  Details about A Gibbs Sampler for Phrasal Synchronous Grammar Induction | BibTeX data for A Gibbs Sampler for Phrasal Synchronous Grammar Induction

• [39]

  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.

  Details about Inducing compact but accurate tree−substitution grammars | BibTeX data for Inducing compact but accurate tree−substitution grammars

• [40]

  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.

  Details about Monte Carlo inference and maximization for phrase−based translation | BibTeX data for Monte Carlo inference and maximization for phrase−based translation

• [41]

  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.

  Details about A Discriminative Latent Variable Model for Statistical Machine Translation | BibTeX data for A Discriminative Latent Variable Model for Statistical Machine Translation | Link to A Discriminative Latent Variable Model for Statistical Machine Translation

• [42]

  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.

  Details about Probabilistic Inference for Machine Translation | BibTeX data for Probabilistic Inference for Machine Translation

• [43]

  Formal and Computational Semantics: a Case Study

  Stephen Pulman

  In Jeroen Geertzen‚ Elias Thijsse‚ Harry Bunt and Amanda Schiffrin, editors, Proceedings of the Seventh International Workshop on Computational Semantics: IWCS−7‚ Tilburg‚ The Netherlands‚ 2007. Pages 181–196. 2007.

  Details about Formal and Computational Semantics: a Case Study | BibTeX data for Formal and Computational Semantics: a Case Study | Download  (pdf) of Formal and Computational Semantics: a Case Study

• [44]

  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.

  Details about Discriminative Word Alignment with Conditional Random Fields | BibTeX data for Discriminative Word Alignment with Conditional Random Fields | Link to Discriminative Word Alignment with Conditional Random Fields

• [45]

  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.

  Details about Multilingual Deep Lexical Acquisition for HPSGs via Supertagging | BibTeX data for Multilingual Deep Lexical Acquisition for HPSGs via Supertagging

• [46]

  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 about Question classification with log−linear models | BibTeX data for Question classification with log−linear models | DOI (http://doi.acm.org/10.1145/1148170.1148282)

• [47]

  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.

  Details about Semantic Role Labelling with Tree Conditional Random Fields | BibTeX data for Semantic Role Labelling with Tree Conditional Random Fields | Link to Semantic Role Labelling with Tree Conditional Random Fields

• [48]

  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.

  Details about Maximum Entropy Markov models for semantic role labelling | BibTeX data for Maximum Entropy Markov models for semantic role labelling

Technical reports

• [1]

  Modelling‚ Visualising and Summarising Documents with a Single Convolutional Neural Network

  Misha Denil‚ Alban Demiraj‚ Nal Kalchbrenner‚ Phil Blunsom and Nando de Freitas

  No. arXiv:1406.3830. University of Oxford. 2014.

  Details about Modelling‚ Visualising and Summarising Documents with a Single Convolutional Neural Network | BibTeX data for Modelling‚ Visualising and Summarising Documents with a Single Convolutional Neural Network | Link to Modelling‚ Visualising and Summarising Documents with a Single Convolutional Neural Network

• [2]

  A Primer on Graph Processing with Bolinas

  Jacob Andreas‚ Daniel Bauer‚ David Chiang‚ Karl Moritz Hermann‚ Bevan Jones and Kevin Knight

  August, 2013.

  Details about A Primer on Graph Processing with Bolinas | BibTeX data for A Primer on Graph Processing with Bolinas | Download (pdf) of A Primer on Graph Processing with Bolinas

• [3]

  Shallow Processing and Automatic Summarising: a First Study

  Stephen Pulman‚ Philip Gladwin and Karen Spärck Jones

  Computer Laboratory‚ University of Cambridge. 1991.

  Details about Shallow Processing and Automatic Summarising: a First Study | BibTeX data for Shallow Processing and Automatic Summarising: a First Study

• [4]

  The SRI Core Language Engine project: the grammar

  Stephen Pulman and G. D. Ritchie

  Centre for Cognitive Science‚ Edinburgh‚ and Institute for Language‚ Logic and Information‚ Amsterdam. 1987.

  in E. Klein and J. van Benthem (eds.) Categories‚ Polymorphism and Unification

  Details about The SRI Core Language Engine project: the grammar | BibTeX data for The SRI Core Language Engine project: the grammar

• [5]

  Indexed Grammars and Intersecting Dependencies

  Stephen Pulman and G. D. Ritchie

  No. 23. University of East Anglia. 1985.

  Details about Indexed Grammars and Intersecting Dependencies | BibTeX data for Indexed Grammars and Intersecting Dependencies | Download  (pdf) of Indexed Grammars and Intersecting Dependencies

• [6]

  Grammatical Description and Sentence Processing

  Stephen Pulman

  University of East Anglia. 1979.

  Details about Grammatical Description and Sentence Processing | BibTeX data for Grammatical Description and Sentence Processing

• [7]

  Shape Classifiers and Natural Categories

  Stephen Pulman

  Essex University. 1978.

  Details about Shape Classifiers and Natural Categories | BibTeX data for Shape Classifiers and Natural Categories

• [8]

  Can‚ Could‚ and Possible For

  Stephen Pulman

  Essex University. 1976.

  Details about Can‚ Could‚ and Possible For | BibTeX data for Can‚ Could‚ and Possible For

Theses

• [1]

  Category−Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics

  Edward Grefenstette

  PhD Thesis June, 2013.

  Details about Category−Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics | BibTeX data for Category−Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics | Link to Category−Theoretic Quantitative Compositional Distributional Models of Natural Language Semantics

• [2]

  Analysing Document Similarity Measures

  Edward Grefenstette

  Master's Thesis University of Oxford. September, 2009.

  Details about Analysing Document Similarity Measures | BibTeX data for Analysing Document Similarity Measures | Download (pdf) of Analysing Document Similarity Measures