[Submitted on 9 Sep 2026]
Title:Does Linguistic Structure Enrichment Enhance Coherence Assessment? Not With Current Architectures
View a PDF of the paper titled Does Linguistic Structure Enrichment Enhance Coherence Assessment? Not With Current Architectures, by Victor Mazzotti and Luiz Pereira and Marina Bitencourt dos Santos and Helena Maia and Carlos Caetano and N\'adia Felix and Sandra Avila
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Abstract:Recent advances in large language models have transformed human-computer interaction. Despite their fluency, these models often produce texts that are grammatically correct but semantically incoherent, containing contradictions or disruptions in logical flow. This work investigates whether enriching text with syntactic and rhetorical information can improve incoherence prediction. Our experiments and analysis show that plain texts achieved higher accuracy because the added information was structurally and syntactically incompatible with the language model's architecture. Additionally, to demonstrate the practical importance of coherence assessment, we performed zero-shot experiments on a Brazilian disinformation dataset, suggesting that textual coherence can serve as a proxy for detecting misleading content. Code and models are available at this https URL.
Comments: 6 figures, 8 tables, 10 pages
Subjects:
Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2609.10893 [cs.CL]
(or arXiv:2609.10893v1 [cs.CL] for this version)
https://doi.org/10.48550/arXiv.2609.10893
arXiv-issued DOI via DataCite (pending registration)
Submission history
From: Sandra Avila [view email] [v1] Wed, 9 Sep 2026 22:53:50 UTC (562 KB)
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