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Mark Johnson
Mark Johnson
Professor of Language Sciences, School of Computing, Macquarie University
Potvrđena adresa e-pošte na MQ.edu.au - Početna stranica
Naslov
Citirano
Citirano
Godina
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
54452018
Spice: Semantic propositional image caption evaluation
P Anderson, B Fernando, M Johnson, S Gould
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
22362016
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
14332018
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
14262005
Effective self-training for parsing
D McClosky, E Charniak, M Johnson
Proceedings of the human language technology conference of the NAACL, main …, 2006
8032006
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
6532003
A Bayesian framework for word segmentation: Exploring the effects of context
S Goldwater, TL Griffiths, M Johnson
Cognition 112 (1), 21-54, 2009
5892009
PCFG models of linguistic tree representations
M Johnson
Computational Linguistics 24 (4), 613-632, 1998
5051998
Attribute-value logic and the theory of grammar
M Johnson
3961989
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
3692002
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models
M Johnson, T Griffiths, S Goldwater
Advances in neural information processing systems 19, 2006
3572006
Reranking and self-training for parser adaptation
D McClosky, E Charniak, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
3402006
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
3252015
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
3232019
Interpolating between types and tokens by estimating power-law generators
S Goldwater, M Johnson, T Griffiths
Advances in neural information processing systems 18, 2005
2852005
Memory requirements and local ambiguities of parsing strategies
SP Abney, M Johnson
Journal of Psycholinguistic Research 20, 233-250, 1991
2671991
Contextual dependencies in unsupervised word segmentation
S Goldwater, TL Griffiths, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
2662006
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
2652007
Guided open vocabulary image captioning with constrained beam search
P Anderson, B Fernando, M Johnson, S Gould
arXiv preprint arXiv:1612.00576, 2016
2632016
Estimators for Stochastic``Unification-Based''Grammars
M Johnson, S Geman, S Canon, Z Chi, S Riezler
arXiv preprint cs/0008028, 2000
2622000
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