The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) will take place next week, colocated with CoNLL 2021. We’re excited to share all the work from SAIL that will be presented, and you’ll find links to papers, videos and blogs below. Feel free to reach out to the contact authors directly to learn more about the work that’s happening at Stanford! List of Accepted Papers Calibrate your listeners! Robust communication-based training for pragmatic speakers Authors : Rose E. Wang, Julia White, Jesse Mu, Noah D. Goodman Contact : rewang@stanford.edu Links: Paper | Video Keywords : language generation, pragmatics, communication-based training, calibration, uncertainty Cross-Domain Data Integration for Named Entity Disambiguation in Biomedical Text Authors : Maya Varma, Laurel Orr, Sen Wu, Megan Leszczynski, Xiao Ling, Christopher Ré Contact : mvarma2@stanford.edu Links: Paper | Video Keywords : named entity disambiguation, biomedical text, rare entities, data integration ContractNLI: A Dataset for Document-level Natural Language Inference for Contracts Authors : Yuta Koreeda, Christopher D. Manning Contact : koreeda@stanford.edu Links: Paper | Website Keywords : natural language inference, contract, law, legal, dataset Venue : The Findings of EMNLP 2021 The Emergence of the Shape Bias Results from Communicative Efficiency Authors : Eva Portelance, Michael C. Frank, Dan Jurafsky, Alessandro Sordoni, Romain Laroche Contact : portelan@stanford.edu Links: Paper | Website Keywords : emergent communication, shape bias, multi-agent reinforcement learning, language learning, language acquisition Conference : CoNLL LM-Critic: Language Models for Unsupervised Grammatical Error Correction Authors : Michihiro Yasunaga, Jure Leskovec, Percy Liang. Contact : myasu@cs.stanford.edu Links: Paper | Blog Post | Website Keywords : language model, grammatical error correction, unsupervised translation Sensitivity as a complexity measure for sequence classification tasks Authors : Michael Hahn, Dan Jurafsky, Richard Futrell Contact : mhahn2@stanford.edu Links: Paper Keywords : decision boundaries, computational complexity Distributionally Robust Multilingual Machine Translation Authors : Chunting Zhou*, Daniel Levy*, Marjan Ghazvininejad, Xian Li, Graham Neubig Contact : daniel.levy0@gmail.com Keywords : machine translation, robustness, distribution shift, dro, cross-lingual transfer Learning from Limited Labels for Long Legal Dialogue Authors : Jenny Hong, Derek Chong, Christopher D. Manning Contact : jennyhong@cs.stanford.edu Keywords : legal nlp, information extraction, weak supervision Capturing Logical Structure of Visually Structured Documents with Multimodal Transition Parser Authors : Yuta Koreeda, Christopher D. Manning Contact : koreeda@stanford.edu Links: Paper | Website Keywords : legal, preprocessing Workshop : Natural Legal Language Processing Workshop We look forward to seeing you at EMNLP/CoNLL 2021!