Entity type modeling for multi-document summarization : generating descriptive summaries of geo-located entities

In this work we investigate the application of entity type models in extractive multi-document summarization using the automatic caption generation for images of geo-located entities (e.g. Westminster Abbey, Loch Ness, Eiffel Tower) as an application scenario. Entity type models contain sets of patt...

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Bibliographic Details
Main Author: Aker, Ahmet
Other Authors: Gaizauskas, Robert
Published: University of Sheffield 2014
Subjects:
004
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.595243