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Textual coherence using latent semantic analysis

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The article was published on 1998-01-01 and is currently open access. It has received 28 citations till now. The article focuses on the topics: Probabilistic latent semantic analysis & Coherence (statistics).

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Journal ArticleDOI

Modeling local coherence: An entity-based approach

TL;DR: This article re-conceptualize coherence assessment as a learning task and shows that the proposed entity-grid representation of discourse is well-suited for ranking-based generation and text classification tasks.
Proceedings Article

Automatic evaluation of text coherence: models and representations

TL;DR: A fully-automatic, linguistically rich model of local coherence that correlates with human judgments is introduced and demonstrates that certain models capture complementary aspects of coherence and thus can be combined to improve performance.
Proceedings ArticleDOI

Modeling Local Coherence: An Entity-Based Approach

TL;DR: A novel entity-based representation of discourse is presented which is inspired by Centering Theory and can be computed automatically from raw text and achieves significantly higher accuracy than a state-of-the-art coherence model.
Journal ArticleDOI

Experimental manipulations of perspective taking and perspective switching in expressive writing

TL;DR: The results showed that writing from a first-person perspective conferred more perceived benefits and was associated with using more cognitive mechanism words, whether engaged in perspective taking or perspective switching.
Proceedings Article

Making Conversational Structure Explicit: Identification of Initiation-response Pairs within Online Discussions

TL;DR: This paper develops a novel variant of Latent Semantic Analysis (LSA) to overcome a limitation of standard LSA models, namely that uncommon words, which are critical for signaling initiation-response links, tend to be deemphasized.