Matt Gardner

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Suautori

Sameer SinghAssociate Professor, University of California IrvinePotvrđena adresa e-pošte na uci.edu
Matthew E PetersSr Research Scientist, Allen Institute for Artificial IntelligencePotvrđena adresa e-pošte na allenai.org
Luke ZettlemoyerUniversity of Washington; Meta AIPotvrđena adresa e-pošte na cs.washington.edu
Pradeep DasigiAllen Institute for AI (AI2)Potvrđena adresa e-pošte na allenai.org
Nelson F. LiuStanford UniversityPotvrđena adresa e-pošte na cs.stanford.edu
Mohit IyyerAssistant Professor, University of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Mark NeumannAllen Institute for AIPotvrđena adresa e-pošte na allenai.org
Jonathan BerantAssociate Professor, Tel-Aviv UniversityPotvrđena adresa e-pošte na cs.tau.ac.il
Dheeru DuaUniversity of California, IrvinePotvrđena adresa e-pošte na uci.edu
Oyvind TafjordAllen Institute of Artificial Intelligence (AI2)Potvrđena adresa e-pošte na allenai.org
Tom MitchellFounders University Professor of Machine Learning, Carnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu
Eric WallaceUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Noah A. SmithUniversity of Washington; Allen Institute for Artificial IntelligencePotvrđena adresa e-pošte na cs.washington.edu
Ben BoginTel Aviv UniversityPotvrđena adresa e-pošte na cs.tau.ac.il
Sanjay SubramanianUC BerkeleyPotvrđena adresa e-pošte na berkeley.edu
Hannaneh HajishirziUniversity of Washington; Allen AIPotvrđena adresa e-pošte na cs.washington.edu
Partha TalukdarGoogle Research and IISc BangalorePotvrđena adresa e-pošte na iisc.ac.in
Kenton LeeGoogle ResearchPotvrđena adresa e-pošte na google.com
Kevin SeppiProfessor of Computer Science, Brigham Young UniversityPotvrđena adresa e-pošte na cs.byu.edu
Jayant KrishnamurthyCarnegie Mellon UniversityPotvrđena adresa e-pošte na cs.cmu.edu

Prati

Matt Gardner

Microsoft Semantic Machines

Potvrđena adresa e-pošte na microsoft.com - Početna stranica

natural language processing reading comprehension semantic parsing


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Deep contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... NAACL 2018, Best paper, 2018	12061*	2018
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	1099	2018
Never-ending learning TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ... AAAI 2015, 2015	1057	2015
Linguistic Knowledge and Transferability of Contextual Representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019	555	2019
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	486	2019
Universal adversarial triggers for attacking and analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019	433	2019
Simple and Effective Multi-Paragraph Reading Comprehension C Clark, M Gardner ACL 2018, 2018	399	2018
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	281	2020
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. M Gardner, TM Mitchell EMNLP 2015, 2015	209	2015
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables J Krishnamurthy, P Dasigi, M Gardner EMNLP 2017, 2017	206	2017
Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell EMNLP 2014, 2014	184	2014
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019	180	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	155	2019
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing B Bogin, M Gardner, J Berant ACL 2019, 2019	132	2019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning P Dasigi, NF Liu, A Marasovic, NA Smith, M Gardner EMNLP 2019, 2019	128	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	121	2013
Compositional Questions Do Not Necessitate Multi-hop Reasoning S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer ACL 2019, 2019	117	2019
Neural Module Networks for Reasoning over Text N Gupta, K Lin, D Roth, S Singh, M Gardner ICLR 2020, 2020	110	2020
Crowdsourcing Multiple Choice Science Questions J Welbl, NF Liu, M Gardner Workshop on Noisy User-generated Text at EMNLP 2017, 2017	107	2017
Break It Down: A Question Understanding Benchmark T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant TACL 2020, 2020	102	2020

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