Look Who's Talking: Stanford linguists at ACL 2020

Stanford linguists presented their research at the virtual 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020) from July 5 to Jul 10, 2020!

Presentations included:

  • Ethan A. Chi, John Hewitt and Christopher D. Manning: Finding Universal Grammatical Relations in Multilingual BERT
  • Yuhao Zhang, Derek Merck, Emily Tsai, Christopher D. Manning and Curtis Langlotz: Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
  • Kaustubh Dhole and Christopher D. Manning: Syn-QG: Syntactic and Shallow Semantic Rules for Question Generation
  • Peng Qi, Yuhao Zhang, Yuhui Zhang, Jason Bolton and Christopher D. Manning: Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
  • Dan Iter, Kelvin Guu, Larry Lansing and Dan Jurafsky: Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models
  • Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith and Yejin Choi: Social Bias Frames: Reasoning about Social and Power Implications of Language
  • Sebastian Schuster, Yuxing Chen and Judith Degen: Harnessing the Linguistic Signal to Predict Scalar Inferences
  • Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade and Sujith Ravi: GoEmotions: A Dataset of Fine-Grained Emotions