Using Cross-encoders to Measure the Similarity of Short Texts

• In Event: Advances in Text Analysis

Brief Overview

The paper discusses the challenge of estimating the similarity of political texts, particularly when they are short, and proposes a meaning-based approach using cross-encoder models to overcome this limitation.

Author

• Gechun Lin, Washington University in St Louis