Learning to quantify refers to the process of utilizing supervised learning methods to estimate or measure certain attributes or quantities within data. It involves developing models and algorithms that can accurately predict or assign numerical values to specific aspects of interest. This field is particularly relevant in various domains, such as information retrieval, data science, and machine learning.