mlsanityData to 14 Oct 2026

What makes an entity salient in discourse?

arXiv 2508.16464 ↗First posted 22 Aug 2025cs.CLcited by 0

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Abstract (arXiv)

Entities in discourse vary in salience: main participants, objects and locations stay prominent, while others are quickly forgotten, raising questions about how humans signal and infer discourse-level salience. Using a graded operationalization of discourse-level salience based on summary-worthiness in multiple summaries, this paper investigates whether predictors of utterance-level prominence extend to the discourse level, and how they interact across 24 spoken and written genres of English. We examine features including grammatical function, definiteness, entity type, linear order, discourse relations and hierarchy, and referential structure, as well as the impact of genre. Our results show that utterance-level predictors significantly correlate with discourse-level salience, but interact with and are modulated by entity-level factors such as frequency and dispersion across the document. Multifactorial models reveal that no single factor determines salience; rather, discourse-structural and semantic features prove more robust than morphosyntactic ones, with substantial variation by genre and communicative intent.

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References · 10

  1. 2020Learning to Ignore: Long Document Coreference with Bounded Memory Neural Networkscited by 29
  2. 2023GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluationcited by 19
  3. 2024eRST: A Signaled Graph Theory of Discourse Relations and Organizationcited by 14
  4. 2025Behavioral Analysis of Information Salience in Large Language Modelscited by 12
  5. 2024Which questions should I answer? Salience Prediction of Inquisitive Questionscited by 8
  6. 2024GUMsley: Evaluating Entity Salience in Summarization for 12 English Genrescited by 6
  7. 2025GUM-SAGE: A Novel Dataset and Approach for Graded Entity Salience Predictioncited by 6
  8. 2021Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotescited by 4
  9. 2023GUMSum: Multi-Genre Data and Evaluation for English Abstractive Summarizationcited by 2
  10. 2023Leveraging Contextual Information for Effective Entity Salience Detectioncited by 2

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