Matt Gardner

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Sameer SinghAssociate Professor, University of California IrvineVerified email at uci.edu
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligenceVerified email at allenai.org
Luke ZettlemoyerUniversity of Washington; Meta AIVerified email at cs.washington.edu
Pradeep DasigiAllen Institute for AI (AI2)Verified email at allenai.org
Nelson F. LiuStanford UniversityVerified email at cs.stanford.edu
Jonathan BerantAssociate Professor, Tel-Aviv UniversityVerified email at cs.tau.ac.il
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Mark NeumannAllen Institute for AIVerified email at allenai.org
Oyvind TafjordAllen Institute of Artificial Intelligence (AI2)Verified email at allenai.org
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
Dheeru DuaUniversity of California, IrvineVerified email at uci.edu
Eric WallaceUC BerkeleyVerified email at berkeley.edu
Partha TalukdarGoogle Research and IISc BangaloreVerified email at iisc.ac.in
Ben BoginTel Aviv UniversityVerified email at cs.tau.ac.il
Jayant KrishnamurthyCarnegie Mellon UniversityVerified email at cs.cmu.edu
Hannaneh HajishirziUniversity of Washington; Allen AIVerified email at cs.washington.edu
Kenton LeeGoogle ResearchVerified email at google.com
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityVerified email at cs.byu.edu
Sanjay SubramanianUC BerkeleyVerified email at berkeley.edu
Gabriel StanovskyThe Hebrew University of JerusalemVerified email at mail.huji.ac.il

Matt Gardner

Microsoft Semantic Machines

Verified email at microsoft.com - Homepage

natural language processing reading comprehension semantic parsing


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... NAACL 2018, Best paper, 2018	10096*	2018
Never-ending learning TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ... AAAI 2015, 2015	933	2015
AllenNLP: A Deep Semantic Natural Language Processing Platform M Gardner, J Grus, M Neumann, O Tafjord, P Dasigi, N Liu, M Peters, ... NLP OSS Workshop at ACL 2018, 2018	918	2018
Linguistic Knowledge and Transferability of Contextual Representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	443	2019
Simple and Effective Multi-Paragraph Reading Comprehension C Clark, M Gardner ACL 2018, 2018	359	2018
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs D Dua, Y Wang, P Dasigi, G Stanovsky, S Singh, M Gardner NAACL 2019, 2019	351	2019
Universal adversarial triggers for attacking and analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019	307	2019
Evaluating models’ local decision boundaries via contrast sets M Gardner, Y Artzi, V Basmov, J Berant, B Bogin, S Chen, P Dasigi, D Dua, ... EMNLP Findings 2020, 2020	197	2020
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables J Krishnamurthy, P Dasigi, M Gardner EMNLP 2017, 2017	187	2017
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. M Gardner, TM Mitchell EMNLP 2015, 2015	181	2015
Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell EMNLP 2014, 2014	160	2014
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019	129	2019
Barack’s Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling RL Logan IV, NF Liu, ME Peters, M Gardner, S Singh ACL 2019, 2019	122	2019
Improving Learning and Inference in a Large Knowledge-base using Latent Syntactic Cues M Gardner, PP Talukdar, B Kisiel, T Mitchell EMNLP 2013, 2013	117	2013
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing B Bogin, M Gardner, J Berant ACL 2019, 2019	103	2019
Compositional Questions Do Not Necessitate Multi-hop Reasoning S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer ACL 2019, 2019	97	2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning P Dasigi, NF Liu, A Marasovic, NA Smith, M Gardner EMNLP 2019, 2019	91	2019
The topic browser: An interactive tool for browsing topic models MJ Gardner, J Lutes, J Lund, J Hansen, D Walker, E Ringger, K Seppi Workshop on Challenges of Data Visualization at NeurIPS 2010, 2010	84	2010
Crowdsourcing Multiple Choice Science Questions J Welbl, NF Liu, M Gardner Workshop on Noisy User-generated Text at EMNLP 2017, 2017	81	2017
Neural Module Networks for Reasoning over Text N Gupta, K Lin, D Roth, S Singh, M Gardner ICLR 2020, 2020	74	2020

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