Joint Modeling of Entities and Discourse Relations for Coherence Assessment
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Abstract (arXiv)
In linguistics, coherence can be achieved by different means, such as by maintaining reference to the same set of entities across sentences and by establishing discourse relations between them. However, most existing work on coherence modeling focuses exclusively on either entity features or discourse relation features, with little attention given to combining the two. In this study, we explore two methods for jointly modeling entities and discourse relations for coherence assessment. Experiments on three benchmark datasets show that integrating both types of features significantly enhances the performance of coherence models, highlighting the benefits of modeling both simultaneously for coherence evaluation.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 28 of its 71 references that are in the map. First posted on arXiv 4 Sep 2025.
Builds on
28 of 71 references.
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16 more
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Citing papers per year: 2025: 1; 2026: 1.
2 papers.