Coherence-based Document-level Text Simplification
Published in PhD Thesis, University of Manchester, United Kingdom., 2024
This thesis addresses text simplification in Natural Language Processing at the document level, rather than for isolated sentences. It examines evaluation resources and simplification operations, analysing the limitations of existing corpora. Its main contributions are the evaluation of discourse coherence across sentences and paragraphs using neural methods, the enhancement of sentence-level models for document simplification through paraphrasing data, and novel approaches for assessing simplification quality. The thesis introduces a simplification model that integrates simplicity, readability and coherence, with the aim of making complex texts more accessible to diverse audiences, including people with disabilities, non-native speakers, and readers without specialised knowledge in fields such as healthcare and law.
Recommended citation: Vásquez-Rodríguez, L. (2024). Coherence-based Document-level Text Simplification [PhD thesis]. University of Manchester, United Kingdom.
Recommended citation: Vásquez-Rodríguez, L. (2024). Coherence-based Document-level Text Simplification [PhD thesis]. University of Manchester, United Kingdom.
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