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Modeling local coherence: An entity-based approach
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DOI：10.1162/coli.2008.34.1.1.png)
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摘要
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This article proposes a novel framework for representing and measuring local coherence. Central to this approach is the entity-grid representation of discourse, which captures patterns of entity distribution in a text. The algorithm introduced in the article automatically abstracts a text into a set of entity transition sequences and records distributional, syntactic, and referential information about discourse entities. We re-conceptualize coherence assessment as a learning task and show that our entity-based representation is well-suited for ranking-based generation and text classification tasks. Using the proposed representation, we achieve good performance on text ordering, summary coherence evaluation, and readability assessment.
Keyword:
REFERENTIAL COHERENCE
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5.3
论文数:
837
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2.7K
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