---
title: "Samuel R. Bowman — papers of 2019 — Elamur Research"
description: "Samuel R. Bowman — papers of 2019: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/samuel-r-bowman/year/2019/"
---
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# Samuel R. Bowman — papers of 2019 — Elamur Research

5 papers · [all years of Samuel R. Bowman](https://md.research.elamur.ai/free/en/authors/samuel-r-bowman/#years)

- [SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems arXiv:1905.00537](https://md.research.elamur.ai/free/en/papers/wang-2019-superglue-stickier-benchmark-general-purpose/) — Alex Wang, Yada Pruksachatkun, Nikita Nangia, et al. · 2019 · 2,227 citations

**[On Measuring Social Biases in Sentence Encoders](https://md.research.elamur.ai/free/en/papers/may-2019-measuring-social-biases-sentence-encoders/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Chandler May, Alex Wang, Shikha Bordia, et al.*2019 · 769 citations*

- [What do you learn from context? Probing for sentence structure in contextualized word representations arXiv:1905.06316](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) — Ian Tenney, Patrick Xia, Berlin Chen, et al. · 2019 · 602 citations
- [Identifying and Reducing Gender Bias in Word-Level Language Models arXiv:1904.03035](https://md.research.elamur.ai/free/en/papers/bordia-2019-identifying-reducing-gender-bias-word/) — Shikha Bordia, Samuel R. Bowman · 2019 · 367 citations

**[Probing What Different NLP Tasks Teach Machines about Function Word Comprehension](https://md.research.elamur.ai/free/en/papers/kim-2019-probing-what-different-nlp-tasks/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Najoung Kim, Roma Patel, Adam Poliak, et al.*2019 · 163 citations*