Alexander Clark

Mach. Learn., 2014

An Algebraic Approach to Multiple Context-Free Grammars.

[BibT_eX]

[DOI]

Proceedings of the Logical Aspects of Computational Linguistics, 2014

Preface.

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[DOI]

Makoto Kanazawa

Proceedings of the 12th International Conference on Grammatical Inference, 2014

Measuring Gradience in Speakers' Grammaticality Judgements.

[BibT_eX]

[DOI]

Jey Han Lau

Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Editors' Introduction.

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[DOI]

Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014

2013

Complexity in Language Acquisition.

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[DOI]

Top. Cogn. Sci., 2013

Learning trees from strings: a strong learning algorithm for some context-free grammars.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Towards a Statistical Model of Grammaticality.

[BibT_eX]

[DOI]

Gianluca Giorgolo

Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Statistical Representation of Grammaticality Judgements: the Limits of N-Gram Models.

[BibT_eX]

[DOI]

Gianluca Giorgolo

Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics, 2013

2012

Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Logical Grammars, Logical Theories.

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[DOI]

Proceedings of the Logical Aspects of Computational Linguistics, 2012

2011

Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning.

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[DOI]

J. Mach. Learn. Res., 2011

A Language Theoretic Approach to Syntactic Structure.

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[DOI]

Proceedings of the Mathematics of Language - 12th Biennial Conference, 2011

Inference of Inversion Transduction Grammars.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Using Contextual Representations to Efficiently Learn Context-Free Languages.

[BibT_eX]

[DOI]

Amaury Habrard

J. Mach. Learn. Res., 2010

Three Learnable Models for the Description of Language.

[BibT_eX]

[DOI]

Proceedings of the Language and Automata Theory and Applications, 2010

Learning Context Free Grammars with the Syntactic Concept Lattice.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

Polynomial Time Learning of Some Multiple Context-Free Languages with a Minimally Adequate Teacher.

[BibT_eX]

[DOI]

Proceedings of the Formal Grammar, 2010

Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Towards General Algorithms for Grammatical Inference.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010

2009

A Learnable Representation for Syntax Using Residuated Lattices.

[BibT_eX]

[DOI]

Proceedings of the Formal Grammar - 14th International Conference, 2009

2008

Some Alternatives to Parikh Matrices Using String Kernels.

[BibT_eX]

[DOI]

Chris Watkins

Fundam. Informaticae, 2008

A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues.

[BibT_eX]

[DOI]

Maria Georgescul

Susan Armstrong

Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

A Polynomial Algorithm for the Inference of Context Free Languages.

[BibT_eX]

[DOI]

Amaury Habrard

Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2007

Learning deterministic context free grammars: The Omphalos competition.

[BibT_eX]

[DOI]

Mach. Learn., 2007

Polynomial Identification in the Limit of Substitutable Context-free Languages.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

2006

An Analysis of Quantitative Aspects in the Evaluation of Thematic Segmentation Algorithms.

[BibT_eX]

[DOI]

Maria Georgescul

Susan Armstrong

Proceedings of the SIGDIAL 2006 Workshop, 2006

Planar Languages and Learnability.

[BibT_eX]

[DOI]

Christophe Costa Florêncio

Chris Watkins

Mariette Sérayet

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1.

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[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

PAC-Learning Unambiguous NTS Languages.

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[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Languages as Hyperplanes: Grammatical Inference with String Kernels.

[BibT_eX]

[DOI]

Christophe Costa Florêncio

Chris Watkins

Proceedings of the Machine Learning: ECML 2006, 2006

Word Distributions for Thematic Segmentation in a Support Vector Machine Approach.

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[DOI]

Maria Georgescul

Susan Armstrong

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

Learning Auxiliary Fronting with Grammatical Inference.

[BibT_eX]

[DOI]

Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2005

Identification in the Limit of Substitutable Context-Free Languages.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004

PAC-learnability of Probabilistic Deterministic Finite State Automata.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2004

Multi-level Dialogue Act Tags.

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[DOI]

Andrei Popescu-Belis

Proceedings of the SIGDIAL 2004 Workshop, The 5th Annual Meeting of the Special Interest Group on Discourse and Dialogue, April 30, 2004

Shallow Dialogue Processing Using Machine Learning Algorithms (or Not).

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Multimodal Interaction, 2004

Building and Using a Corpus of Shallow Dialogue Annotated Meetings.

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[DOI]

Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Learning Stochastic Deterministic Regular Languages.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2004

Partially Distribution-Free Learning of Regular Languages from Positive Samples.

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[DOI]

Proceedings of the COLING 2004, 2004

2003

Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues.

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[DOI]

Proceedings of the Natural Language Processing and Information Systems, 2003

Combining Distributional and Morphological Information for Part of Speech Induction.

[BibT_eX]

[DOI]

Proceedings of the EACL 2003, 2003

2002

Unsupervised Language Acquisition: Theory and Practice

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[DOI]

CoRR, 2002

Shallow Parsing Using Probabilistic Grammatical Inference.

[BibT_eX]

[DOI]

Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

Memory-Based Learning of Morphology with Stochastic Transducers.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001

Partially Supervised Learning of Morphology with Stochastic Transducers.

[BibT_eX]

[DOI]

Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Unsupervised induction of stochastic context-free grammars using distributional clustering.

[BibT_eX]

[DOI]

Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Learning Morphology with Pair Hidden Markov Models.

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Proceedings of the Association for Computational Linguistic, 2001

2000

Inducing Syntactic Categories by Context Distribution Clustering.

[BibT_eX]

[DOI]