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 HeAI Lab, JD.com; IEEE/CAAI FellowVerified email at washington.edu
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
Cong Duy Vu HoangApplied Scientist at Oracle Corp.Verified email at oracle.com
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
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
Poorya ZareMoodiAI at OracleVerified email at oracle.com
Matt LeaseProfessor, School of Information, University of Texas at AustinVerified email at utexas.edu

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	5637	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	2344	2016
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	1497	2018
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	1428	2005
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the human language technology conference of the NAACL, main …, 2006	806	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	660	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	591	2009
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998	505	1998
Attribute-value logic and the theory of grammar M Johnson	397	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	369	2002
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	359	2019
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models M Johnson, T Griffiths, S Goldwater Advances in neural information processing systems 19, 2006	357	2006
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	341	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	328	2015
Interpolating between types and tokens by estimating power-law generators S Goldwater, M Johnson, T Griffiths Advances in neural information processing systems 18, 2005	285	2005
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20, 233-250, 1991	270	1991
Guided open vocabulary image captioning with constrained beam search P Anderson, B Fernando, M Johnson, S Gould arXiv preprint arXiv:1612.00576, 2016	268	2016
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	266	2007
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	266	2006
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000	262	2000

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