フォロー
Mark Johnson
Mark Johnson
Professor of Language Sciences, School of Computing, Macquarie University
確認したメール アドレス: MQ.edu.au - ホームページ
タイトル
引用先
引用先
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
50842018
Spice: Semantic propositional image caption evaluation
P Anderson, B Fernando, M Johnson, S Gould
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
20252016
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
14092005
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
12892018
Effective self-training for parsing
D McClosky, E Charniak, M Johnson
Proceedings of the human language technology conference of the NAACL, main …, 2006
7872006
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
6322003
A Bayesian framework for word segmentation: Exploring the effects of context
S Goldwater, TL Griffiths, M Johnson
Cognition 112 (1), 21-54, 2009
5772009
PCFG models of linguistic tree representations
M Johnson
Computational Linguistics 24 (4), 613-632, 1998
5001998
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
3672002
Adaptor grammars: A framework for specifying compositional nonparametric Bayesian models
M Johnson, T Griffiths, S Goldwater
Advances in neural information processing systems 19, 2006
3522006
Reranking and self-training for parser adaptation
D McClosky, E Charniak, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
3382006
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
3192015
Interpolating between types and tokens by estimating power-law generators
S Goldwater, M Johnson, T Griffiths
Advances in neural information processing systems 18, 2005
2802005
Contextual dependencies in unsupervised word segmentation
S Goldwater, TL Griffiths, M Johnson
Proceedings of the 21st International Conference on Computational …, 2006
2652006
Estimators for Stochastic``Unification-Based''Grammars
M Johnson, S Geman, S Canon, Z Chi, S Riezler
arXiv preprint cs/0008028, 2000
2622000
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
2612007
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
2602019
Memory requirements and local ambiguities of parsing strategies
SP Abney, M Johnson
Journal of Psycholinguistic Research 20, 233-250, 1991
2591991
Semi-supervised part-of-speech tagging
KN Toutanova, ME Johnson
US Patent 8,275,607, 2012
2522012
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論文 1–20