Alexander Clark

Affiliations:
  • Royal Holloway, University of London, UK


According to our database1, Alexander Clark authored at least 61 papers between 2000 and 2023.

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Bibliography

2023
Engineering Psychology in Job Design.
Proceedings of the HCI International 2023 - Late Breaking Papers, 2023

2021
Beyond Chomsky Normal Form: Extending Strong Learning Algorithms for PCFGs.
Proceedings of the 15th International Conference on Grammatical Inference, 2021

2020
Consistent Unsupervised Estimators for Anchored PCFGs.
Trans. Assoc. Comput. Linguistics, 2020

2017
Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.
J. Am. Medical Informatics Assoc., 2017

Grammaticality, Acceptability, and Probability: A Probabilistic View of Linguistic Knowledge.
Cogn. Sci., 2017

2016
Guest editors' foreword.
Theor. Comput. Sci., 2016

Distributional Learning of Some Nonlinear Tree Grammars.
Fundam. Informaticae, 2016

Testing Distributional Properties of Context-Free Grammars.
Proceedings of the 13th International Conference on Grammatical Inference, 2016

2015
The syntactic concept lattice: Another algebraic theory of the context-free languages?
J. Log. Comput., 2015

Canonical Context-Free Grammars and Strong Learning: Two Approaches.
Proceedings of the 14th Meeting on the Mathematics of Language, 2015

Unsupervised Prediction of Acceptability Judgements.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Distributional learning of parallel multiple context-free grammars.
Mach. Learn., 2014

An Algebraic Approach to Multiple Context-Free Grammars.
Proceedings of the Logical Aspects of Computational Linguistics, 2014

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

Measuring Gradience in Speakers' Grammaticality Judgements.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

Editors' Introduction.
Proceedings of the Algorithmic Learning Theory - 25th International Conference, 2014

2013
Complexity in Language Acquisition.
Top. Cogn. Sci., 2013

Learning trees from strings: a strong learning algorithm for some context-free grammars.
J. Mach. Learn. Res., 2013

Towards a Statistical Model of Grammaticality.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Statistical Representation of Grammaticality Judgements: the Limits of N-Gram Models.
Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics, 2013

2012
Beyond Semilinearity: Distributional Learning of Parallel Multiple Context-free Grammars.
Proceedings of the Eleventh International Conference on Grammatical Inference, 2012

Logical Grammars, Logical Theories.
Proceedings of the Logical Aspects of Computational Linguistics, 2012

2011
Languages as hyperplanes: grammatical inference with string kernels.
Mach. Learn., 2011

Introduction to the Special Topic on Grammar Induction, Representation of Language and Language Learning.
J. Mach. Learn. Res., 2011

A Language Theoretic Approach to Syntactic Structure.
Proceedings of the Mathematics of Language - 12th Biennial Conference, 2011

Inference of Inversion Transduction Grammars.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Using Contextual Representations to Efficiently Learn Context-Free Languages.
J. Mach. Learn. Res., 2010

Three Learnable Models for the Description of Language.
Proceedings of the Language and Automata Theory and Applications, 2010

Learning Context Free Grammars with the Syntactic Concept Lattice.
Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher.
Proceedings of the Grammatical Inference: Theoretical Results and Applications, 2010

Polynomial Time Learning of Some Multiple Context-Free Languages with a Minimally Adequate Teacher.
Proceedings of the Formal Grammar, 2010

Towards General Algorithms for Grammatical Inference.
Proceedings of the Discovery Science - 13th International Conference, 2010

Efficient, Correct, Unsupervised Learning for Context-Sensitive Languages.
Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

2009
A Learnable Representation for Syntax Using Residuated Lattices.
Proceedings of the Formal Grammar - 14th International Conference, 2009

2008
Some Alternatives to Parikh Matrices Using String Kernels.
Fundam. Informaticae, 2008

A Comparative Study of Mixture Models for Automatic Topic Segmentation of Multiparty Dialogues.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

A Polynomial Algorithm for the Inference of Context Free Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2008

2007
Learning deterministic context free grammars: The Omphalos competition.
Mach. Learn., 2007

Polynomial Identification in the Limit of Substitutable Context-free Languages.
J. Mach. Learn. Res., 2007

2006
An Analysis of Quantitative Aspects in the Evaluation of Thematic Segmentation Algorithms.
Proceedings of the SIGDIAL 2006 Workshop, 2006

Planar Languages and Learnability.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

PAC-Learning Unambiguous NTS Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2006

Word Distributions for Thematic Segmentation in a Support Vector Machine Approach.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

Learning Auxiliary Fronting with Grammatical Inference.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

2005
Identification in the Limit of Substitutable Context-Free Languages.
Proceedings of the Algorithmic Learning Theory, 16th International Conference, 2005

2004
PAC-learnability of Probabilistic Deterministic Finite State Automata.
J. Mach. Learn. Res., 2004

Multi-level Dialogue Act Tags.
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).
Proceedings of the Machine Learning for Multimodal Interaction, 2004

Building and Using a Corpus of Shallow Dialogue Annotated Meetings.
Proceedings of the Fourth International Conference on Language Resources and Evaluation, 2004

Learning Stochastic Deterministic Regular Languages.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2004

Partially Distribution-Free Learning of Regular Languages from Positive Samples.
Proceedings of the COLING 2004, 2004

2003
Natural Language Queries on Natural Language Data: a Database of Meeting Dialogues.
Proceedings of the Natural Language Processing and Information Systems, 2003

Combining Distributional and Morphological Information for Part of Speech Induction.
Proceedings of the EACL 2003, 2003

2002
Unsupervised Language Acquisition: Theory and Practice
CoRR, 2002

Shallow Parsing Using Probabilistic Grammatical Inference.
Proceedings of the Grammatical Inference: Algorithms and Applications, 2002

Memory-Based Learning of Morphology with Stochastic Transducers.
Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, 2002

2001
Partially Supervised Learning of Morphology with Stochastic Transducers.
Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001

Unsupervised induction of stochastic context-free grammars using distributional clustering.
Proceedings of the ACL 2001 Workshop on Computational Natural Language Learning, 2001

Learning Morphology with Pair Hidden Markov Models.
Proceedings of the Association for Computational Linguistic, 2001

2000
Inducing Syntactic Categories by Context Distribution Clustering.
Proceedings of the Fourth Conference on Computational Natural Language Learning, 2000


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