Modeling Local Coherence: An Entity-Based Approach

Regina Barzilay, Mirella Lapata

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Pages (from-to)1-34
Number of pages34
JournalComputational Linguistics
Volume34
Issue number1
DOIs
Publication statusPublished - 2008

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