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EMNLP 2023emnlpfindings

TalkUp: Paving the Way for Understanding Empowering Language

Lucille Njoo, Chan Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov

PDF 由论文原始站点提供,PaperCompass 不保存论文文件。DOI 10.18653/v1/2023.findings-emnlp.625 ↗

摘要

Empowering language is important in many real-world contexts, from education to workplace dynamics to healthcare. Though language technologies are growing more prevalent in these contexts, empowerment has seldom been studied in NLP, and moreover, it is inherently challenging to operationalize because of its implicit nature. This work builds from linguistic and social psychology literature to explore what characterizes empowering language. We then crowdsource a novel dataset of Reddit posts labeled for empowerment, reasons why these posts are empowering to readers, and the social relationships between posters and readers. Our preliminary analyses show that this dataset, which we call TalkUp, can be used to train language models that capture empowering and disempowering language. More broadly, TalkUp provides an avenue to explore implication, presuppositions, and how social context influences the meaning of language.