---
title: "Matt Gardner — all works — Elamur Research"
description: "All 37 works of Matt Gardner in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/matt-gardner/works/"
---
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# Matt Gardner — all works

37 works · [← Matt Gardner](https://md.research.elamur.ai/free/en/authors/matt-gardner/)

1. **[Deep Contextualized Word Representations](https://md.research.elamur.ai/free/en/papers/peters-2018-deep-contextualized-word-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Matthew E. Peters, Mark Neumann, Mohit Iyyer, et al.*2018 · 14,944 citations*
2. [**AllenNLP: A Deep Semantic Natural Language Processing Platform arXiv:1803.07640**Matt Gardner, Joel Grus, Mark Neumann, et al.*2018 · 1,819 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2018-allennlp-deep-semantic-natural-language/)
3. **[Linguistic Knowledge and Transferability of Contextual Representations](https://md.research.elamur.ai/free/en/papers/liu-2019-linguistic-knowledge-transferability-contextual-representations/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Nelson F. Liu, Matt Gardner, Yonatan Belinkov, et al.*2019 · 1,021 citations*
4. **[Universal Adversarial Triggers for Attacking and Analyzing NLP ↗](https://aclanthology.org/D19-1221/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Eric Wallace et al.*2019 · 989 citations*
5. [**DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs**Dheeru Dua, Yizhong Wang, Pradeep Dasigi, et al.*English · 960 citations*](https://md.research.elamur.ai/free/en/papers/dua-2019-drop-reading-comprehension-benchmark-requiring/)
6. **[Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus ↗](https://aclanthology.org/2021.emnlp-main.98/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jesse Dodge et al.*2021 · 564 citations*
7. **[Simple and Effective Multi-Paragraph Reading Comprehension](https://md.research.elamur.ai/free/en/papers/clark-2017-simple-effective-multi-paragraph-reading/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Christopher Clark, Matt Gardner*2017 · 562 citations*
8. [**Evaluating Models' Local Decision Boundaries via Contrast Sets**Matt Gardner, Yoav Artzi, Victoria Basmov, et al.*Mova's core list · 531 citations*](https://md.research.elamur.ai/free/en/papers/gardner-2020-evaluating-models-local-decision-boundaries/)
9. **[Crowdsourcing Multiple Choice Science Questions](https://md.research.elamur.ai/free/en/papers/welbl-2017-crowdsourcing-multiple-choice-science-questions/) [Workshop on Noisy User-generated Text](https://md.research.elamur.ai/free/en/venues/wnut/)**Johannes Welbl, Nelson F. Liu, Matt Gardner*2017 · 524 citations*
10. **[A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers](https://md.research.elamur.ai/free/en/papers/dasigi-2021-dataset-information-seeking-questions-answers/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Pradeep Dasigi, Kyle Lo, Iz Beltagy, et al.*2021 · 384 citations*
11. **[Do NLP Models Know Numbers? Probing Numeracy in Embeddings](https://md.research.elamur.ai/free/en/papers/wallace-2019-do-nlp-models-know-numbers/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Yizhong Wang, Sujian Li, et al.*2019 · 352 citations*
12. **[Neural Semantic Parsing with Type Constraints for Semi-Structured Tables ↗](https://aclanthology.org/D17-1160/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner*2017 · 337 citations*
13. **[Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing](https://md.research.elamur.ai/free/en/papers/bogin-2019-representing-schema-structure-graph-neural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ben Bogin, Jonathan Berant, Matt Gardner*2019 · 272 citations*
14. [**Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning**Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al.*English · 259 citations*](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/)
15. **[Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling ↗](https://aclanthology.org/P19-1598/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Robert Logan et al.*2019 · 247 citations*
16. **[Compositional Questions Do Not Necessitate Multi-hop Reasoning](https://md.research.elamur.ai/free/en/papers/min-2019-compositional-questions-do-not-necessitate/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sewon Min, Eric Wallace, Sameer Singh, et al.*2019 · 235 citations*
17. **[Break It Down: A Question Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/wolfson-2020-break-it-down-question-understanding/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Tomer Wolfson, Mor Geva, Ankit Gupta, et al.*2020 · 222 citations*
18. **[AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models](https://md.research.elamur.ai/free/en/papers/wallace-2019-allennlp-interpret-framework-explaining-predictions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Eric Wallace, Jens Tuyls, Junlin Wang, et al.*2019 · 182 citations*
19. **[Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction ↗](https://aclanthology.org/D15-1173/) Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing · no summary yet**Matt Gardner, Tom Mitchell*2015 · 179 citations*
20. **[Reasoning Over Paragraph Effects in Situations](https://md.research.elamur.ai/free/en/papers/lin-2019-reasoning-over-paragraph-effects-situations/) [Workshop on Machine Reading for Question Answering](https://md.research.elamur.ai/free/en/venues/mrqa/)**Kevin Lin, Oyvind Tafjord, Peter Clark, et al.*2019 · 176 citations*
21. **[Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning](https://md.research.elamur.ai/free/en/papers/razeghi-2022-impact-pretraining-term-frequencies-few/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.*2022 · 165 citations*
22. **[Evaluating Question Answering Evaluation ↗](https://aclanthology.org/D19-5817/) Proceedings of the 2nd Workshop on Machine Reading for Question Answering · no summary yet**Anthony Chen et al.*2019 · 153 citations*
23. [**TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions**Qiang Ning, Hao Wu, Rujun Han, et al.*English · 152 citations*](https://md.research.elamur.ai/free/en/papers/ning-2020-torque-reading-comprehension-dataset-temporal/)
24. **[Global Reasoning over Database Structures for Text-to-SQL Parsing ↗](https://aclanthology.org/D19-1378/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Ben Bogin, Matt Gardner, Jonathan Berant*2019 · 152 citations*
25. **[Competency Problems: On Finding and Removing Artifacts in Language Data ↗](https://aclanthology.org/2021.emnlp-main.135/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Matt Gardner et al.*2021 · 144 citations*
26. **[ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension ↗](https://aclanthology.org/2022.acl-long.357/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Sanjay Subramanian et al.*2022 · 142 citations*
27. **[Neural Module Networks for Reasoning over Text ↗](https://arxiv.org/abs/1912.04971) arXiv (Cornell University) · no summary yet**Nitish Gupta et al.*2019 · 114 citations*
28. **[Learning from Task Descriptions](https://md.research.elamur.ai/free/en/papers/weller-2020-learning-task-descriptions/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Orion Weller, Nicholas Lourie, Matt Gardner, et al.*2020 · 112 citations*
29. **[MedICaT: A Dataset of Medical Images, Captions, and Textual References ↗](https://aclanthology.org/2020.findings-emnlp.191/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Sanjay Subramanian et al.*2020 · 100 citations*
30. **[Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets](https://md.research.elamur.ai/free/en/papers/wu-2022-generating-data-mitigate-spurious-correlations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuxiang Wu, Matt Gardner, Pontus Stenetorp, et al.*2022 · 99 citations*
31. **[Tailor: Generating and Perturbing Text with Semantic Controls](https://md.research.elamur.ai/free/en/papers/ross-2022-tailor-generating-perturbing-text-semantic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alexis Ross, Tongshuang Wu, Hao Peng, et al.*2022 · 93 citations*
32. **[QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions ↗](https://arxiv.org/abs/1909.03553) arXiv:1909.03553 · no summary yet**Oyvind Tafjord et al.*2019 · 81 citations*
33. **[Iterative Search for Weakly Supervised Semantic Parsing ↗](https://aclanthology.org/N19-1273/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Pradeep Dasigi et al.*2019 · 71 citations*
34. **[Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks](https://md.research.elamur.ai/free/en/papers/asai-2022-evidentiality-guided-generation-knowledge-intensive/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Akari Asai, Matt Gardner, Hannaneh Hajishirzi*2022 · 60 citations*
35. **[Neural Semantic Parsing ↗](https://aclanthology.org/P18-5006/) Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts · no summary yet**Matt Gardner et al.*2018 · 23 citations*
36. **[Paired Examples as Indirect Supervision in Latent Decision Models ↗](https://aclanthology.org/2021.emnlp-main.466/) Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yet**Nitish Gupta et al.*2021 · 9 citations*
37. **[Understanding Mention Detector-Linker Interaction in Neural Coreference Resolution](https://md.research.elamur.ai/free/en/papers/wu-2021-understanding-mention-detector-linker-interaction/) [Workshop on Computational Models of Reference, Anaphora and Coreference (CRAC)](https://md.research.elamur.ai/free/en/venues/crac/)**Zhaofeng Wu, Matt Gardner*2021 · 6 citations*