Papers with coherence measures

3 papers
Topic Model or Topic Twaddle? Re-evaluating Semantic Interpretability Measures (2021.naacl-main)

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Challenge: Existing methods for topic model evaluation use automated measures modeled on human evaluation tests that are dissimilar to applied usage.
Approach: They propose to use a novel experimental framework to evaluate topic models and assess their coherence for specialized collections in an applied setting.
Outcome: The proposed framework is reflective of human evaluations using open labeling, typical of applied research.
How to Find Strong Summary Coherence Measures? A Toolbox and a Comparative Study for Summary Coherence Measure Evaluation (2022.coling-1)

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Challenge: Existing methods to evaluate summary coherence are often evaluated using disparate datasets and metrics.
Approach: They propose to use automatic evaluation to evaluate coherence of summaries by selecting high-scoring candidates.
Outcome: The proposed methods show that they can perform better on an even playing field.
Fiction Flows: A Replication and Reinterpretation of Narrative Sequentiality (2026.acl-long)

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Challenge: a new study shows that imagined narratives exhibit higher "flow" than recalled narratives, but this advantage is not reducible to standard coherence measures.
Approach: They propose a language-model-based measure of sentence-level predictability to measure narrative flow . they find that imagined stories flow better than recalled ones .
Outcome: The proposed measure of sentence-level predictability is based on language models . it shows that fiction exhibits a robust sequentiality advantage over reality-bound genres .

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