text: [157] Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, and 
  Kai-Wei Chang. 2019. Gender Bias in Contextualized Word Embeddings. In 
  Proceedings of the 2019 Conference of the North American Chapter of the Associ- 
  ation for Computational Linguistics: Human Language Technologies, Volume 1 
  (Long and Short Papers). Association for Computational Linguistics, Minneapolis, 
  Minnesota, 629–634. https://doi.org/10.18653/v1/N19-1064 
  
  [158] Li Zhou, Jianfeng Gao, Di Li, and Heung-Yeung Shum. 2020. The Design and 
  Implementation of XiaoIce, an Empathetic Social Chatbot. Computational Lin- 
  guistics 46, 1 (March 2020), 53–93. https://doi.org/10.1162/coli_a_00368 
  
  ACKNOWLEDGMENTS 
  This paper represents the work of seven authors, but some were 
  required by their employer to remove their names. The remaining 
  listed authors are extremely grateful to our colleagues for the effort 
  and wisdom they contributed to this paper. 
  
  In addition, in drafting and revising this paper, we benefited 
  from thoughtful comments and discussion from many people: Alex 
  Hanna, Amandalynne Paullada, Ben Hutchinson, Ben Packer, Bren- 
  dan O’Connor, Dan Jurafsky, Ehud Reiter, Emma Strubell, Emily 
  Denton, Gina-Anne Levow, Iason Gabriel, Jack Clark, Kristen How- 
  ell, Lucy Vasserman, Maarten Sap, Mark Díaz, Miles Brundage, Nick 
  Doiron, Rob Munro, Roel Dobbe, Samy Bengio, Suchin Gururangan, 
  Vinodkumar Prabhakaran, William Agnew, William Isaac, and Yejin 
  Choi and our anonymous reviewers. 