Yi Yang's Homepage
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I work on computational linguistics and natural language processing. I have been focused on language variation and change: making NLP robust to it, and using computational techniques to measure and understand it. In July 2019, I joined Google AI as a research scientist. From 2012 to 2019, I was on the faculty at Georgia Tech, where I led the Computational Linguistics lab. publications | twitter | biographical sketch | github
A complete list of publications can be found on Google scholar , and on Semantic scholar . Here are some recent papers in my current areas of interest. Trustworthy NLP Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language. Eisenstein. NAACL 2022. The MultiBERTS: BERT Reproductions for Robustness Analysis. Sellam, Yadlowsky, Tenney, ... Eisenstein, .... ICLR 2022. Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests. Veitch, D'Amour, Yad
Measuring and modeling language change Time-Aware Language Models as Temporal Knowledge Bases. Dhingra*, Cole*, Eisenschlos, Gillick, Eisenstein, and Cohen. TACL, 2021. Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers. Soni, Klein, and Eisenstein. Journal of Cultural Analytics , 2021. Follow the leader: Documents on the leading edge of semantic change get more citations. Soni, Lerman, and Eisenstein. JASIST 2020. Measuring and modeling language change. Eisenstein. NA
Yi Yang's Homepage