HCMay 26, 2015
Use of Laplacian Projection Technique for Summarizing Likert Scale Annotations
arXiv:1505.07310v1
Originality Synthesis-oriented
AI Analysis
This addresses the need for efficient summarization of human judgments in annotation tasks, but appears incremental as it builds on existing graph techniques.
The paper tackles the problem of summarizing Likert scale ratings from human annotators by proposing a novel graph theoretic method, and analyzes its properties using real datasets.
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.