---
title: "Noah A. Smith — papers of 2019 — 9 papers, the most cited first"
description: "Noah A. Smith — papers of 2019: 9 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Noah A. Smith — papers of 2019 — 9 papers, the most cited first

9 papers · [all years of Noah A. Smith](https://md.research.elamur.ai/free/en/authors/noah-a-smith/#years)

**[The Risk of Racial Bias in Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/sap-2019-risk-racial-bias-hate-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Maarten Sap, Dallas Card, Saadia Gabriel, et al.*2019 · 1,164 citations*

**[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*

**[Is Attention Interpretable?](https://md.research.elamur.ai/free/en/papers/serrano-2019-is-attention-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sofia Serrano, Noah A. Smith*2019 · 899 citations*

**[Evaluating Gender Bias in Machine Translation](https://md.research.elamur.ai/free/en/papers/stanovsky-2019-evaluating-gender-bias-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Gabriel Stanovsky, Noah A. Smith, Luke Zettlemoyer*2019 · 593 citations*

**[To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks](https://md.research.elamur.ai/free/en/papers/peters-2019-tune-tune-adapting-pretrained-representations/) [Workshop on Representation Learning for NLP](https://md.research.elamur.ai/free/en/venues/repl4nlp/)**Matthew E. Peters, Sebastian Ruder, Noah A. Smith*2019 · 522 citations*

- [Green AI arXiv:1907.10597](https://md.research.elamur.ai/free/en/papers/schwartz-2019-green-ai/) — Roy Schwartz, Jesse Dodge, Noah A. Smith, et al. · 2019 · 389 citations
- [Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning](https://md.research.elamur.ai/free/en/papers/dasigi-2019-quoref-reading-comprehension-dataset-questions/) — Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, et al. · English · 259 citations

**[Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts](https://md.research.elamur.ai/free/en/papers/clark-2019-sentence-mover-s-similarity-automatic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Elizabeth Clark, Asli Celikyilmaz, Noah A. Smith*2019 · 209 citations*

**[Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets](https://md.research.elamur.ai/free/en/papers/liu-2019-inoculation-fine-tuning-method-analyzing/) [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, Roy Schwartz, Noah A. Smith*2019 · 138 citations*