---
title: "Kai-Wei Chang — papers of 2019 — 4 papers, the most cited first"
description: "Kai-Wei Chang — papers of 2019: 4 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Kai-Wei Chang — papers of 2019 — 4 papers, the most cited first

4 papers · [all years of Kai-Wei Chang](https://md.research.elamur.ai/free/en/authors/kai-wei-chang/#years)

- [VisualBERT: A Simple and Performant Baseline for Vision and Language arXiv:1908.03557](https://md.research.elamur.ai/free/en/papers/li-2019-visualbert-simple-performant-baseline-vision/) — Liunian Harold Li, Mark Yatskar, Da Yin, et al. · 2019 · 1,568 citations

**[The Woman Worked as a Babysitter: On Biases in Language Generation](https://md.research.elamur.ai/free/en/papers/sheng-2019-woman-worked-as-babysitter-biases/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, et al.*2019 · 764 citations*

**[Mitigating Gender Bias in Natural Language Processing: Literature Review](https://md.research.elamur.ai/free/en/papers/sun-2019-mitigating-gender-bias-natural-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tony Sun, Andrew Gaut, Shirlyn Tang, et al.*2019 · 724 citations*

**[Gender Bias in Contextualized Word Embeddings](https://md.research.elamur.ai/free/en/papers/zhao-2019-gender-bias-contextualized-word-embeddings/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Jieyu Zhao, Tianlu Wang, Mark Yatskar, et al.*2019 · 508 citations*
