Generating descriptive multi-document summaries of geo-located entities using entity type models

In this article, we investigate the application of entity type models in extractive multi‐document summarization using automatic caption generation for images of geo‐located entities (e.g., Westminster Abbey) as an application scenario. Entity type models contain sets of patterns aiming to capture t...

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Bibliographic Details
Published in:Journal of the Association for Information Science and Technology 2015-04, Vol.66 (4), p.721-738
Main Authors: Aker, Ahmet, Gaizauskas, Robert
Format: Article
Language:English
Subjects:
Automatic abstracting
Automatic text analysis
Documents
Location
Mathematical models
Natural language
Representations
Scoring
Sentences
Signatures
Summaries
summarization
Texts
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