Mark Johnson

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Long DuongOracle CorpVerified email at oracle.com
Peter AndersonHead of Research, Applied AI at Balyasny Asset ManagementVerified email at bamfunds.com
Sharon GoldwaterSchool of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Xiaodong He (何晓冬)AI Lab, JD.com; IEEE/CAAI FellowVerified email at ieee.org
Stephen GouldProfessor at Australian National UniversityVerified email at anu.edu.au
Dat Quoc NguyenVinAI ResearchVerified email at vinai.io
Lei ZhangInternational Digital Economy Academy (IDEA)Verified email at idea.edu.cn
Damien TeneyIdiap Research InstituteVerified email at idiap.ch
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityVerified email at princeton.edu
Mark DrasProfessor of Computing, Macquarie UniversityVerified email at mq.edu.au
David McCloskyQuantAQ Inc.Verified email at cs.stanford.edu
Cong Duy Vu HoangApplied Scientist at Oracle Corp.Verified email at oracle.com
Thanh VuOracle CorporationVerified email at oracle.com
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
Lan DuAssociate Professor, Faculty of IT, Monash UniversityVerified email at monash.edu
Benjamin BörschingerGoogleVerified email at google.com
Stefan RiezlerProfessor for Statistical Natural Language Processing, Heidelberg UniversityVerified email at cl.uni-heidelberg.de
Massimiliano CiaramitaGoogle DeepMindVerified email at google.com
Matt LeaseProfessor, School of Information, University of Texas at AustinVerified email at utexas.edu
Basura FernandoScientist at A*STAR Singapore, Assistant Professor at NTUVerified email at ihpc.a-star.edu.sg

Mark Johnson

Professor of Language Sciences, School of Computing, Macquarie University

Verified email at MQ.edu.au - Homepage

Computational Linguistics Natural Language Processing Statistical Models Machine Learning


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Bottom-up and top-down attention for image captioning and visual question answering P Anderson, X He, C Buehler, D Teney, M Johnson, S Gould, L Zhang Proceedings of the IEEE conference on computer vision and pattern …, 2018	5287	2018
Spice: Semantic propositional image caption evaluation P Anderson, B Fernando, M Johnson, S Gould Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	2147	2016
Coarse-to-fine n-best parsing and maxent discriminative reranking E Charniak, M Johnson Proceedings of the 43rd Annual Meeting of the Association for Computational …, 2005	1415	2005
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments P Anderson, Q Wu, D Teney, J Bruce, M Johnson, N Sünderhauf, I Reid, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018	1356	2018
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the human language technology conference of the NAACL, main …, 2006	799	2006
Learning OT constraint rankings using a maximum entropy model S Goldwater, M Johnson Proceedings of the workshop on variation within Optimality Theory, 111-120, 2003	641	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	582	2009
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	503	1998
Attribute-value logic and the theory of grammar M Johnson	396	1989
Parsing the Wall Street Journal using a Lexical-Functional Grammar and discriminative estimation techniques S Riezler, TH King, RM Kaplan, R Crouch, JT Maxwell III, M Johnson Proceedings of the 40th Annual Meeting of the Association for Computational …, 2002	367	2002
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, T Griffiths, S Goldwater Advances in neural information processing systems 19, 2006	356	2006
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	339	2006
Improving topic models with latent feature word representations DQ Nguyen, R Billingsley, L Du, M Johnson Transactions of the Association for Computational Linguistics 3, 299-313, 2015	321	2015
Nocaps: Novel object captioning at scale H Agrawal, K Desai, Y Wang, X Chen, R Jain, M Johnson, D Batra, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019	291	2019
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	281	2005
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	266	2006
Bayesian inference for pcfgs via markov chain monte carlo M Johnson, T Griffiths, S Goldwater Human Language Technologies 2007: The Conference of the North American …, 2007	264	2007
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20, 233-250, 1991	264	1991
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	262	2000
Guided open vocabulary image captioning with constrained beam search P Anderson, B Fernando, M Johnson, S Gould arXiv preprint arXiv:1612.00576, 2016	257	2016

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