mlsanityData to 14 Oct 2026

BERTScoreVisualizer: A Web Tool for Understanding Simplified Text Evaluation with BERTScore

arXiv 2409.17160 ↗First posted 10 Sep 2024cs.CLcited by 1

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Abstract (arXiv)

The BERTScore metric is commonly used to evaluate automatic text simplification systems. However, current implementations of the metric fail to provide complete visibility into all information the metric can produce. Notably, the specific token matchings can be incredibly useful in generating clause-level insight into the quality of simplified text. We address this by introducing BERTScoreVisualizer, a web application that goes beyond reporting precision, recall, and F1 score and provides a visualization of the matching between tokens. We believe that our software can help improve the analysis of text simplification systems by specifically showing where generated, simplified text deviates from reference text. We host our code and demo on GitHub.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 2 of its 7 references that are in the map. First posted on arXiv 10 Sep 2024.

Builds on

2 of 7 references.

References · 2

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,399
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512

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