Matt Gardner
Matt Gardner
Allen Institute for Artificial Intelligence
Bestätigte E-Mail-Adresse bei allenai.org - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Deep contextualized word representations
ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ...
NAACL 2018, Best paper, 2018
52482018
Never-ending learning
TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ...
AAAI 2015, 2015
6562015
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
4842018
Simple and Effective Multi-Paragraph Reading Comprehension
C Clark, M Gardner
ACL 2018, 2018
2402018
Linguistic Knowledge and Transferability of Contextual Representations
NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith
NAACL 2019, 2019
1982019
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
1392019
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction.
M Gardner, TM Mitchell
EMNLP 2015, 2015
1372015
Incorporating vector space similarity in random walk inference over knowledge bases
M Gardner, P Talukdar, J Krishnamurthy, T Mitchell
EMNLP 2014, 2014
1352014
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables
J Krishnamurthy, P Dasigi, M Gardner
EMNLP 2017, 2017
1242017
Universal Adversarial Triggers for NLP
E Wallace, S Feng, N Kandpal, M Gardner, S Singh
EMNLP 2019, 2019
96*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
962013
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
802010
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
532019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
S Min, E Wallace, S Singh, M Gardner, H Hajishirzi, L Zettlemoyer
ACL 2019, 2019
502019
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
44*2020
Crowdsourcing Multiple Choice Science Questions
J Welbl, NF Liu, M Gardner
Workshop on Noisy User-generated Text at EMNLP 2017, 2017
422017
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing
B Bogin, M Gardner, J Berant
ACL 2019, 2019
392019
Translation invariant word embeddings
K Huang, M Gardner, E Papalexakis, C Faloutsos, N Sidiropoulos, ...
EMNLP 2015, 2015
382015
Do NLP Models Know Numbers? Probing Numeracy in Embeddings
E Wallace, Y Wang, S Li, S Singh, M Gardner
EMNLP 2019, 2019
342019
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning
P Dasigi, NF Liu, A Marasovic, NA Smith, M Gardner
EMNLP 2019, 2019
312019
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