优势(遗传学)
功率(物理)
计算机科学
控制(管理)
乔治(机器人)
语言学
自然语言处理
人工智能
哲学
物理
量子力学
生物化学
化学
基因
作者
Yair Neuman,Yochai Cohen
摘要
Abstract Power relationships express one party’s dominance, control, influence, and authority over the other. In this article, and using state-of-the-art AI tools, we show that power relationships can be automatically identified in textual data. Generating thousands of synthetic utterances expressing either dominance or compliance, we trained/ran three models that showed good classification performance. Moreover, using GPT-4, we present a novel method for presenting power asymmetry in conversations and visualizing the dynamics of power relationships over time. This methodology is presented and illustrated by analyzing a case study—The play Pygmalion by George Bernard Show.
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