CLNov 11, 2020

Assessment of text coherence based on the cohesion estimation

arXiv:2011.05788v1
AI Analysis

This work addresses text coherence evaluation for multilingual applications, but it appears incremental as it builds on existing graph-based approaches.

The paper tackles the problem of assessing text coherence by proposing a graph-based method that estimates cohesion, and it demonstrates effectiveness across English, Chinese, and Arabic texts.

In this paper, a graph-based coherence estimation method based on the cohesion estimation is suggested. Our method uses a graph-based approach to provide a user with an understanding of the evaluation process. Moreover, it can be applied to different languages, therefore, the effectiveness of this method is examined on the set of English, Chinese, and Arabic texts.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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