Look Who’s Talking: Stanford Linguists and Alums at NAACL
Stanford researchers and alumni will presenting at the 2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics, hosted virtually from June 6 to 11.
- Shikhar Murty, Tatsunori Hashimoto and Christopher Manning: DReCa: A General Task Augmentation Strategy for Few-Shot Natural Language Inference
- Ashwin Paranjape and Christopher Manning: Human-like informative conversations: Better acknowledgements using conditional mutual information
- Reid Pryzant, Dallas Card, Dan Jurafsky, Victor Veitch and Dhanya Sridhar: Causal Effects of Linguistic Properties
- Yasuhide Miura, Yuhao Zhang, Emily Tsai, Curtis Langlotz and Dan Jurafsky: Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
- Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts and Adina Williams: Dynabench: Rethinking Benchmarking in NLP
- Dorottya Demszky, Devyani Sharma (Ph.D. '03), Jonathan Clark, Vinodkumar Prabhakaran and Jacob Eisenstein: Learning to Recognize Dialect Features
- Xinliang Frederick Zhang and Marie-Catherine de Marneffe (Ph.D. '12): Identifying Inherent Disagreement in Natural Language Inference
- Samuel R. Bowman (Ph.D. '16) and George Dahl: What Will it Take to Fix Benchmarking in Natural Language Understanding?