Daniel Fried - Google Scholar Citations

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	All	Since 2015
Citations	419	370
h-index	11	11
i10-index	12	11

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Co-authors

Stephen KobourovProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu
Mihai SurdeanuAssociate Professor, Computer Science, University of ArizonaVerified email at email.arizona.edu
Jacob AndreasMITVerified email at mit.edu
Dane BellLum AIVerified email at email.arizona.edu
Anna RohrbachResearch Scientist, University of California, BerkeleyVerified email at berkeley.edu
Kate SaenkoBoston UniversityVerified email at bu.edu
Kobus BarnardProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu
Luca Del PeroEngineering ManagerVerified email at lyft.com
Mitchell SternPhD Student, UC BerkeleyVerified email at berkeley.edu
Melanie Hingle, Ph.D., M.P.H., R.D.Associate Professor of Nutritional Sciences and Public Health, The University of Arizona, TucsonVerified email at email.arizona.edu
Volkan CirikCarnegie Mellon UniversityVerified email at cs.cmu.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Taylor Berg-KirkpatrickUniversity of California San DiegoVerified email at ucsd.edu
Louis-Philippe MorencyAssociate professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Stephen ClarkResearch Scientist, DeepMind; Honorary Professor, Queen Mary University of LondonVerified email at cl.cam.ac.uk
Tamara PolajnarComputer Laboratory, University of Cambridge, UKVerified email at cam.ac.uk
Kevin DuhJohns Hopkins UniversityVerified email at cs.jhu.edu
Peter A JansenUniversity of ArizonaVerified email at email.arizona.edu
Peter ClarkAllen Institute for Artificial Intelligence (AI2)Verified email at allenai.org
Gus Hahn-PowellUniversity of Arizona & Lum AIVerified email at email.arizona.edu

Daniel Fried

UC Berkeley

Verified email at cs.berkeley.edu - Homepage

natural language processing


Title	Cited by	Year
Bayesian geometric modeling of indoor scenes L Del Pero, J Bowdish, D Fried, B Kermgard, E Hartley, K Barnard Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012	111	2012
Analyzing the language of food on social media D Fried, M Surdeanu, S Kobourov, M Hingle, D Bell 2014 IEEE International Conference on Big Data (Big Data), 778-783, 2014	53	2014
Speaker-follower models for vision-and-language navigation D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ... Advances in Neural Information Processing Systems, 3314-3325, 2018	51	2018
Incorporating both distributional and relational semantics in word representations D Fried, K Duh arXiv preprint arXiv:1412.4369, 2014	32	2014
Maps of computer science D Fried, SG Kobourov 2014 IEEE Pacific Visualization Symposium, 113-120, 2014	32	2014
Unified pragmatic models for generating and following instructions D Fried, J Andreas, D Klein arXiv preprint arXiv:1711.04987, 2017	24	2017
Higher-order lexical semantic models for non-factoid answer reranking D Fried, P Jansen, G Hahn-Powell, M Surdeanu, P Clark Transactions of the Association for Computational Linguistics 3, 197-210, 2015	22	2015
Improving neural parsing by disentangling model combination and reranking effects D Fried, M Stern, D Klein arXiv preprint arXiv:1707.03058, 2017	19	2017
Low-rank tensors for verbs in compositional distributional semantics D Fried, T Polajnar, S Clark Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015	17	2015
Effective inference for generative neural parsing M Stern, D Fried, D Klein arXiv preprint arXiv:1707.08976, 2017	16	2017
A generative probabilistic framework for learning spatial language CR Dawson, J Wright, A Rebguns, MV Escárcega, D Fried, PR Cohen 2013 IEEE Third Joint International Conference on Development and Learning …, 2013	13	2013
Crowdsourcing in the software development industry D Fried Nexus of Entrepreneurship and Technology Initiative Fall, 2010	11	2010
Predicting parallelization of sequential programs using supervised learning D Fried, Z Li, A Jannesari, F Wolf 2013 12th International Conference on Machine Learning and Applications 2, 72-77, 2013	6	2013
Towards using social media to identify individuals at risk for preventable chronic illness D Bell, D Fried, L Huangfu, M Surdeanu, S Kobourov arXiv preprint arXiv:1603.03784, 2016	4	2016
Are you looking? grounding to multiple modalities in vision-and-language navigation R Hu, D Fried, A Rohrbach, D Klein, K Saenko arXiv preprint arXiv:1906.00347, 2019	2	2019
Pragmatically informative text generation S Shen, D Fried, J Andreas, D Klein arXiv preprint arXiv:1904.01301, 2019	2	2019
Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing D Fried, D Klein arXiv preprint arXiv:1806.03290, 2018	2	2018
Learning low-rank tensors for transitive verbs D Fried, T Polajnar, S Clark Advances in Distributional Semantics Workshop, 2015	1	2015
Crowdsourced Applications of Human Computation D Fried Retrieved on: Oct 8, 2012	1	2012
Cross-Domain Generalization of Neural Constituency Parsers D Fried, N Kitaev, D Klein arXiv preprint arXiv:1907.04347, 2019		2019

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