Stanford AI Lab Papers and Talks at ACL 2022
中文摘要
斯坦福AI实验室在ACL 2022展示多项研究成果
English Summary
Stanford AI Lab (SAIL) is presenting its research, including the LinkBERT paper, at the ACL 2022 conference held from May 22nd to May 27th.
The 60th Annual Meeting of the Association for Computational Linguistics (ACL) 2022 is taking place May 22nd - May 27th. We’re excited to share all the work from SAIL that’s being 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 LinkBERT: Pretraining Language Models with Document Links Authors: Michihiro Yasunaga, Jure Leskovec*, Percy Liang* Contact: myasu@cs.stanford.edu Links: Paper | Website Keywords: language model, pretraining, knowledge, hyperlink, bionlp When classifying grammatical role, BERT doesn’t care about word order… except when it matters Authors: Isabel Papadimitriou, Richard Futrell, Kyle Mahowald Contact: isabelvp@stanford.edu Links: Paper Keywords: large language models, analysis, word order, order invariance, grammatical role, syntax, semantics Problems with Cosine as a Measure of Embedding Similarity for High Frequency Words Authors: Kaitlyn Zhou, Kawin Ethayarajh, Dallas Card, Dan Jurafsky Contact: katezhou@stanford.edu Keywords: cosine similarity, training data frequency, model analysis Faithful or Extra…