Most tasks in NLP require labeled data. In this recently published paper (at the 17th Linguistic Annotation Workshop held in conjunction with ACL 2023), we investigate how removing personally identifiable information as well as applying differential privacy rewriting enables using crowdsourcing for text with privacy-relevant information.
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Paper accepted at EMNLP 2025 Main Conference!
Exciting news! Our team at SUMMETIX is proud to present our paper “Argument Summarization and its Evaluation in the Era of Large Language Models” (Altemeyer,
