Submitted by Anna Schnell
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UW Linguistics made quite a splash at the Association for Computational Linguistics, in Bangkok, Thailand this August. We had many faculty and students present, including:
- Emily M. Bender gave her Presidential Address titled "ACL Is Not an AI Conference". The slides can be found here. The video recording is also available.
- Two papers were presented by UW students at the ACL Student Research Workshop at ACL 2024:
- Vipasha Bansal presented on "Automatic Derivation of Semantic Representations for Thai Serial Verb Constructions: A Grammar-Based Approach."
- Julia Mainzinger and Gina-Anne Levow presented on "Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke."
- Three CLMS teams presented their papers as posters at the 14th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis. These papers described their systems submitted as part of the Shared Task on Explainability of Cross-Lingual Emotion Detection, and developed as part of the NLP Systems and Applications course (Ling 573):
- Long Cheng, Qihao Shao, Christine Zhao, Sheng Bi, and Gina-Anne Levow presented on "TEII: Think, Explain, Interact and Iterate with Large Language Models to Solve Cross-lingual Emotion Detection."
- Yao-Fei Cheng, Jeongyeob Hong, Andrew Wang, Anita Silva, and Gina-Anne Levow presented on "Effectiveness of Scalable Monolingual Data and Trigger Words Prompting on Cross-Lingual Emotion Detection Task."
- Jon Davenport, Keren Ruditsky, Anna Batra, Yulha Lhawa, and Gina-Anne Levow presented on "Explainability for Cross-Lingual Emotion in Tweets Shared Task 1: Emotion through Translation using TwHIN-BERT and GPT."
- Fei Xia presented:
- "Large Language Models Are No Longer Shallow Parsers" by Yuanhe Tian, Fei Xia, Yan Song as an ACL main conference paper.
- "Challenging Large Language Models with New Tasks: A Study on their Adaptability and Robustness" by Chenxi Li, Yuanhe Tian, Zhaxi Zerong, Yan Song, and Fei Xia as an ACL Findings paper.
- "Disagreeable, Slovenly, Honest and Un-named Women? Investigating Gender Bias in English Educational Resources by Extending Existing Gender Bias Taxonomies" by Haotian Zhu, Kexin Gao, Fei Xia, and Mari Ostendorf at the 5th Gender Bias Workshop in conjunction with ACL 2024.