--- title: "William Yang Wang — papers of 2019 — Elamur Research" description: "William Yang Wang — papers of 2019: 4 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/william-yang-wang/year/2019/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/william-yang-wang/year/2019/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/) / 2019 # William Yang Wang — papers of 2019 — Elamur Research 4 papers · [all years of William Yang Wang](https://md.research.elamur.ai/free/en/authors/william-yang-wang/#years) **[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* - [TabFact: A Large-scale Dataset for Table-based Fact Verification arXiv:1909.02164](https://md.research.elamur.ai/free/en/papers/chen-2019-tabfact-large-scale-dataset-table/) — Wenhu Chen, Hongmin Wang, Jianshu Chen, et al. · 2019 · 515 citations **[A Benchmark Dataset for Learning to Intervene in Online Hate Speech](https://md.research.elamur.ai/free/en/papers/qian-2019-benchmark-dataset-learning-intervene-online/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Jing Qian, Anna Bethke, Yinyin Liu, et al.*2019 · 293 citations* - [Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model arXiv:1912.09637](https://md.research.elamur.ai/free/en/papers/xiong-2019-pretrained-encyclopedia-weakly-supervised-knowledge/) — Wenhan Xiong, Jingfei Du, William Yang Wang, et al. · 2019 · 117 citations