Use of Laplacian Projection Technique for Summarizing Likert Scale Annotations

Abstract

Summarizing Likert scale ratings from human annotators is an important step for collecting human judgments. In this project we study a novel, graph theoretic method for this purpose. We also analyze a few interesting properties for this approach using real annotation datasets.

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