---
title: "Ian Tenney — papers of 2019 — 3 papers, the most cited first"
description: "Ian Tenney — papers of 2019: 3 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/ian-tenney/year/2019/"
---
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# Ian Tenney — papers of 2019 — 3 papers, the most cited first

3 papers · [all years of Ian Tenney](https://md.research.elamur.ai/free/en/authors/ian-tenney/#years)

**[BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ian Tenney, Dipanjan Das, Ellie Pavlick*2019 · 2,028 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

**[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*