---
title: "Ian Tenney — papers"
description: "Ian Tenney: 5 papers in the Elamur Research library (2019–2020) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/ian-tenney/"
---
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# Ian Tenney

5 papers on this site (2019–2020)

[OpenAlex](https://openalex.org/A5082431329) · [ORCID](https://orcid.org/0000-0002-6225-9283) · h-index 20 · 34 works · 3731 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [Measuring and Reducing Gendered Correlations in Pre-trained Models](https://md.research.elamur.ai/free/en/papers/webster-2020-measuring-reducing-gendered-correlations-pre/) — Kellie Webster, Xuezhi Wang, Ian Tenney, et al. · 2020
- [What Happens To BERT Embeddings During Fine-tuning?](https://md.research.elamur.ai/free/en/papers/merchant-2020-what-happens-bert-embeddings-during/) — Amil Merchant, Elahe Rahimtoroghi, Ellie Pavlick, et al. · 2020
- [BERT Rediscovers the Classical NLP Pipeline](https://md.research.elamur.ai/free/en/papers/tenney-2019-bert-rediscovers-classical-nlp-pipeline/) — Ian Tenney, Dipanjan Das, Ellie Pavlick · 2019
- [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/) — Najoung Kim, Roma Patel, Adam Poliak, et al. · 2019
- [What do you learn from context? Probing for sentence structure in contextualized word representations](https://md.research.elamur.ai/free/en/papers/tenney-2019-learn-context-probing-sentence-structure/) — Ian Tenney, Patrick Xia, Berlin Chen, et al. · 2019