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Matt Gardner
Matt Gardner
Scaled Cognition
Verified email at scaledcognition.com - Homepage
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
14994*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
13472018
Never-ending learning
TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ...
AAAI 2015, 2015
12612015
Linguistic Knowledge and Transferability of Contextual Representations
NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith
NAACL 2019, 2019
7532019
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
7532019
Universal adversarial triggers for attacking and analyzing NLP
E Wallace, S Feng, N Kandpal, M Gardner, S Singh
EMNLP 2019, 2019
7192019
Simple and Effective Multi-Paragraph Reading Comprehension
C Clark, M Gardner
ACL 2018, 2018
4772018
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
4232020
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus
J Dodge, M Sap, A Marasovic, W Agnew, G Ilharco, D Groeneveld, ...
EMNLP 2021, 2021
2862021
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
E Wallace, Y Wang, S Li, S Singh, M Gardner
EMNLP 2019, 2019
2722019
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
J Krishnamurthy, P Dasigi, M Gardner
EMNLP 2017, 2017
2452017
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
M Gardner, TM Mitchell
EMNLP 2015, 2015
2452015
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
2222019
Crowdsourcing Multiple Choice Science Questions
J Welbl, NF Liu, M Gardner
Workshop on Noisy User-generated Text at EMNLP 2017, 2017
2172017
Incorporating vector space similarity in random walk inference over knowledge bases
M Gardner, P Talukdar, J Krishnamurthy, T Mitchell
EMNLP 2014, 2014
2142014
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
B Bogin, M Gardner, J Berant
ACL 2019, 2019
1832019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
P Dasigi, NF Liu, A Marasovic, NA Smith, M Gardner
EMNLP 2019, 2019
1732019
Impact of Pretraining Term Frequencies on Few-Shot Reasoning
Y Razeghi, RL Logan IV, M Gardner, S Singh
EMNLP Findings 2022, 2022
1682022
Break It Down: A Question Understanding Benchmark
T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant
TACL 2020, 2020
1672020
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension
A Rogers, M Gardner, I Augenstein
arXiv preprint arXiv:2107.12708, 2021
1462021
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