Mark Johnson

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Long DuongOracle CorpDirección de correo verificada de oracle.com
Peter AndersonHead of Research, Applied AI at Balyasny Asset ManagementDirección de correo verificada de bamfunds.com
Sharon GoldwaterSchool of Informatics, University of EdinburghDirección de correo verificada de inf.ed.ac.uk
Xiaodong HeAI Lab, JD.com; IEEE/CAAI FellowDirección de correo verificada de ieee.org
Stephen GouldProfessor at Australian National UniversityDirección de correo verificada de anu.edu.au
Dat Quoc NguyenVinAI ResearchDirección de correo verificada de vinai.io
Lei ZhangInternational Digital Economy Academy (IDEA)Dirección de correo verificada de idea.edu.cn
Damien TeneyIdiap Research InstituteDirección de correo verificada de idiap.ch
Thomas L. GriffithsProfessor of Psychology and Computer Science, Princeton UniversityDirección de correo verificada de princeton.edu
Cong Duy Vu HoangApplied Scientist at Oracle Corp.Dirección de correo verificada de oracle.com
Mark DrasProfessor of Computing, Macquarie UniversityDirección de correo verificada de mq.edu.au
David McCloskyQuantAQ Inc.Dirección de correo verificada de cs.stanford.edu
Thanh VuOracle CorporationDirección de correo verificada de oracle.com
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghDirección de correo verificada de inf.ed.ac.uk
Lan DuAssociate Professor, Faculty of IT, Monash UniversityDirección de correo verificada de monash.edu
Benjamin BörschingerGoogleDirección de correo verificada de google.com
Stefan RiezlerProfessor for Statistical Natural Language Processing, Heidelberg UniversityDirección de correo verificada de cl.uni-heidelberg.de
Massimiliano CiaramitaGoogle DeepMindDirección de correo verificada de google.com
Matt LeaseProfessor, School of Information, University of Texas at AustinDirección de correo verificada de utexas.edu
Basura FernandoScientist at A*STAR Singapore, Assistant Professor at NTUDirección de correo verificada de ihpc.a-star.edu.sg

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Mark Johnson

Professor of Language Sciences, School of Computing, Macquarie University

Dirección de correo verificada de MQ.edu.au - Página principal

Computational Linguistics Natural Language Processing Statistical Models Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	5430	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	2229	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	1425	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	1424	2018
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the human language technology conference of the NAACL, main …, 2006	802	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	654	2003
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009	587	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	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	368	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	357	2006
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006	340	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	325	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	319	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	285	2005
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20, 233-250, 1991	267	1991
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	265	2007
Guided open vocabulary image captioning with constrained beam search P Anderson, B Fernando, M Johnson, S Gould arXiv preprint arXiv:1612.00576, 2016	262	2016
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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