| Deep contextualized word representations ME Peters, M Neumann, M Iyyer, M Gardner, C Clark, K Lee, ... NAACL 2018, Best paper, 2018 | 18067* | 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 | 1555 | 2018 |
| Never-ending learning TM Mitchell, W Cohen, E Hruschka, P Talukdar, J Betteridge, A Carlson, ... AAAI 2015, 2015 | 1501 | 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 | 1307 | 2019 |
| Universal adversarial triggers for attacking and analyzing NLP E Wallace, S Feng, N Kandpal, M Gardner, S Singh EMNLP 2019, 2019 | 1219 | 2019 |
| Linguistic Knowledge and Transferability of Contextual Representations NF Liu, M Gardner, Y Belinkov, M Peters, NA Smith NAACL 2019, 2019 | 953 | 2019 |
| 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 | 721 | 2021 |
| Crowdsourcing Multiple Choice Science Questions J Welbl, NF Liu, M Gardner Workshop on Noisy User-generated Text at EMNLP 2017, 2017 | 666 | 2017 |
| Simple and Effective Multi-Paragraph Reading Comprehension C Clark, M Gardner ACL 2018, 2018 | 565 | 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 | 555 | 2020 |
| A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers P Dasigi, K Lo, I Beltagy, A Cohan, NA Smith, M Gardner NAACL 2021, 2021 | 426 | 2021 |
| Do NLP Models Know Numbers? Probing Numeracy in Embeddings E Wallace, Y Wang, S Li, S Singh, M Gardner EMNLP 2019, 2019 | 366 | 2019 |
| Impact of Pretraining Term Frequencies on Few-Shot Reasoning Y Razeghi, RL Logan IV, M Gardner, S Singh EMNLP Findings 2022, 2022 | 347 | 2022 |
| 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 | 315 | 2021 |
| 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 | 284 | 2019 |
| Neural Semantic Parsing with Type Constraints for Semi-Structured Tables J Krishnamurthy, P Dasigi, M Gardner EMNLP 2017, 2017 | 274 | 2017 |
| Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. M Gardner, TM Mitchell EMNLP 2015, 2015 | 268 | 2015 |
| Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing B Bogin, M Gardner, J Berant ACL 2019, 2019 | 260 | 2019 |
| Incorporating vector space similarity in random walk inference over knowledge bases M Gardner, P Talukdar, J Krishnamurthy, T Mitchell EMNLP 2014, 2014 | 248 | 2014 |
| Break It Down: A Question Understanding Benchmark T Wolfson, M Geva, A Gupta, M Gardner, Y Goldberg, D Deutch, J Berant TACL 2020, 2020 | 226 | 2020 |
Sameer SinghProfessor, UC Irvine | CTO, Spiffy AIVerified email at uci.edu
