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 | 5039 | 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 | 2008 | 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 | 1412 | 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 | 1271 | 2018 |
Effective self-training for parsing D McClosky, E Charniak, M Johnson Proceedings of the human language technology conference of the NAACL, main …, 2006 | 784 | 2006 |
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 | 621 | 2003 |
A Bayesian framework for word segmentation: Exploring the effects of context S Goldwater, TL Griffiths, M Johnson Cognition 112 (1), 21-54, 2009 | 572 | 2009 |
PCFG models of linguistic tree representations M Johnson Computational Linguistics 24 (4), 613-632, 1998 | 497 | 1998 |
Attribute-value logic and the theory of grammar M Johnson | 392 | 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 | 367 | 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 | 351 | 2006 |
Reranking and self-training for parser adaptation D McClosky, E Charniak, M Johnson Proceedings of the 21st International Conference on Computational …, 2006 | 337 | 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 | 320 | 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 | 279 | 2005 |
Estimators for Stochastic``Unification-Based''Grammars M Johnson, S Geman, S Canon, Z Chi, S Riezler arXiv preprint cs/0008028, 2000 | 264 | 2000 |
Contextual dependencies in unsupervised word segmentation S Goldwater, TL Griffiths, M Johnson Proceedings of the 21st International Conference on Computational …, 2006 | 262 | 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 | 261 | 2007 |
Memory requirements and local ambiguities of parsing strategies SP Abney, M Johnson Journal of Psycholinguistic Research 20, 233-250, 1991 | 258 | 1991 |
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 | 255 | 2019 |
Semi-supervised part-of-speech tagging KN Toutanova, ME Johnson US Patent 8,275,607, 2012 | 252 | 2012 |