ACL

LACA: Improving Cross-lingual Aspect-Based Sentiment Analysis with LLM Data Augmentation

Jakub Šmíd, Pavel Přibáň, Pavel Král

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； NTIS – New Technologies for the Information Society University of West Bohemia in Pilsen, Faculty of Applied Sciences（新信息技术社会大学西波希米亚大学皮尔森分校应用科学学院） 纠错

Comments Published in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics; Volume 1: Long Papers (ACL 2025). Official version: https://aclanthology.org/2025.acl-long.41/

DP-BART for Privatized Text Rewriting under Local Differential Privacy

Timour Igamberdiev, Ivan Habernal

Comments Accepted at ACL Findings 2023

How reparametrization trick broke differentially-private text representation learning

Ivan Habernal

Comments Pre-print version; Accepted at ACL 2022; (v2: fixing title typo)