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Mark Johnson
Mark Johnson
Professor of Language Sciences, School of Computing, Macquarie University
Adresse e-mail validée de MQ.edu.au - Page d'accueil
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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
47022018
Spice: Semantic propositional image caption evaluation
P Anderson, B Fernando, M Johnson, S Gould
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
17412016
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
13992005
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
11102018
Effective self-training for parsing
D McClosky, E Charniak, M Johnson
Proceedings of the Human Language Technology Conference of the NAACL, Main …, 2006
7512006
Learning OT constraint rankings using a maximum entropy model
S Goldwater, M Johnson, J Spenader, A Eriksson, Ö Dahl
Proceedings of the Stockholm workshop on variation within Optimality Theory …, 2003
5862003
A Bayesian framework for word segmentation: Exploring the effects of context
S Goldwater, TL Griffiths, M Johnson
Cognition 112 (1), 21-54, 2009
5562009
PCFG models of linguistic tree representations
M Johnson
Computational Linguistics 24 (4), 613-632, 1998
4901998
Attribute-value logic and the theory of grammar
M Johnson
Center for the Study of Language and Information, 1988
3891988
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
3662002
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models
M Johnson, T Griffiths, S Goldwater
Advances in neural information processing systems 19, 2006
3442006
Reranking and self-training for parser adaptation
D McClosky, E Charniak, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
3292006
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
2992015
Interpolating between types and tokens by estimating power-law generators
S Goldwater, M Johnson, T Griffiths
Advances in neural information processing systems 18, 2005
2772005
Estimators for Stochastic``Unification-Based''Grammars
M Johnson, S Geman, S Canon, Z Chi, S Riezler
arXiv preprint cs/0008028, 2000
2632000
Bayesian inference for pcfgs via markov chain monte carlo
M Johnson, TL Griffiths, S Goldwater
Human Language Technologies 2007: The Conference of the North American …, 2007
2602007
Contextual dependencies in unsupervised word segmentation
S Goldwater, TL Griffiths, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
2562006
Memory requirements and local ambiguities of parsing strategies
SP Abney, M Johnson
Journal of Psycholinguistic Research 20, 233-250, 1991
2541991
Semi-supervised part-of-speech tagging
KN Toutanova, ME Johnson
US Patent 8,275,607, 2012
2502012
Why doesn’t EM find good HMM POS-taggers?
M Johnson
Proceedings of the 2007 Joint Conference on Empirical Methods in Natural …, 2007
2282007
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