Deep contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... NAACL 2018, Best paper, 2018 | 15391* | 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 | 1384 | 2018 |
Never-ending learning TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ... AAAI 2015, 2015 | 1294 | 2015 |
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 | 783 | 2019 |
Universal adversarial triggers for attacking and analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019 | 778 | 2019 |
Linguistic Knowledge and Transferability of Contextual Representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019 | 774 | 2019 |
Simple and Effective Multi-Paragraph Reading Comprehension C Clark, M Gardner ACL 2018, 2018 | 500 | 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 | 446 | 2020 |
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 | 337 | 2021 |
Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019 | 282 | 2019 |
Neural Semantic Parsing with Type Constraints for Semi-Structured Tables J Krishnamurthy, P Dasigi, M Gardner EMNLP 2017, 2017 | 251 | 2017 |
Crowdsourcing Multiple Choice Science Questions J Welbl, NF Liu, M Gardner Workshop on Noisy User-generated Text at EMNLP 2017, 2017 | 244 | 2017 |
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. M Gardner, TM Mitchell EMNLP 2015, 2015 | 243 | 2015 |
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 | 226 | 2019 |
Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell EMNLP 2014, 2014 | 216 | 2014 |
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing B Bogin, M Gardner, J Berant ACL 2019, 2019 | 187 | 2019 |
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning P Dasigi, NF Liu, A Marasovic, NA Smith, M Gardner EMNLP 2019, 2019 | 184 | 2019 |
Impact of Pretraining Term Frequencies on Few-Shot Reasoning Y Razeghi, RL Logan IV, M Gardner, S Singh EMNLP Findings 2022, 2022 | 177 | 2022 |
Break It Down: A Question Understanding Benchmark T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant TACL 2020, 2020 | 173 | 2020 |
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 | 172 | 2021 |