Not Worth Mentioning? A Pilot Study on Salient Proposition Annotation

ArXi:2603.27358v1 Announce Type: new Despite a long tradition of work on extractive summarization, which by nature aims to recover the most important propositions in a text, little work has been done on operationalizing graded proposition salience in naturally occurring data. In this paper, we adopt graded summarization-based salience as a metric from previous work on Salient Entity Extraction (SEE) and adapt it to quantify proposition salience.