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Home » Stanford AI Lab Papers and Talks at ACL 2022

Stanford AI Lab Papers and Talks at ACL 2022

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 Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive Summarization

Authors: Faisal Ladhak, Esin Durmus, He He, Claire Cardie, Kathleen McKeown

Contact: esdurmus@stanford.edu

Links: Paper

Keywords: text summarization, text generation, evaluation, faithfulness

Spurious Correlations in Reference-Free Evaluation of Text Generation

Authors: Esin Durmus, Faisal Ladhak, Tatsunori Hashimoto

Contact: esdurmus@stanford.edu

Links: Paper

Keywords: text summarization, text generation, dialogue generation, evaluation, metrics,

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

Authors: Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré

Contact: mleszczy@stanford.edu

Links: Paper | Blog Post | Website

Keywords: entity retrieval, contrastive learning, bi-encoders

A Few-Shot Semantic Parser for Wizard-of-Oz Dialogues with the Precise ThingTalk Representation

Authors: Giovanni Campagna, Sina J. Semnani, Ryan Kearns, Lucas Jun Koba Sato, Silei Xu, Monica S. Lam

Contact: gcampagn@cs.stanford.edu

Venue: Findings of ACL

Links: Paper | Website

Keywords: dialogue agents, task-oriented dialogues, data synthesis

Richer Countries and Richer Representations

Authors: Kaitlyn Zhou, Kawin Ethayarajh, Dan Jurafsky

Contact: katezhou@stanford.edu

Venue: Findings of ACL

Keywords: representational harms, model analysis, geographic entities

Modular Domain Adaptation

Authors: Junshen K. Chen, Dallas Card, Dan Jurafsky

Contact: dalc@umich.edu

Venue: Findings of ACL

Links: Paper | Blog Post | Website

Keywords: domain adaptation, computational social science, text classification, lexicons, sentiment

Shared Autonomy for Robotic Manipulation with Language Corrections

Authors: Siddharth Karamcheti*, Raj Palleti*, Yuchen Cui, Percy Liang, Dorsa Sadigh

Contact: skaramcheti@cs.stanford.edu

Venue: ACL LNLS workshop

Links: Paper

Keywords: human-robot interaction, online language corrections, language supervision

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