Context-based Multi-Document Summarization using Fuzzy Coreference Cluster Graphs

The IPD cluster computing cluster summaries using a clustering algorithm :)

Abstract

Constructing focused, context-based multi-document summaries requires an analysis of the context questions, as well as their corresponding document sets. We present a fuzzy cluster graph algorithm that finds entities and their connections between context and documents based on fuzzy coreference chains and describe the design and implementation of the ERSS summarizer implementing these ideas.

Reference

René Witte, Ralf Krestel, and Sabine Bergler, Context-based Multi-Document Summarization using Fuzzy Coreference Cluster Graphs. Document Understanding Workshop (DUC) at HLT-NAACL 2006, June 8-9, 2006, New York City, NY, USA.


Bibtex entry (also for download):

@InProceedings{WKB06,
  author =       {Ren{\'{e}} Witte and Ralf Krestel and Sabine Bergler},
  title =        {{Context-based Multi-Document Summarization
                   using Fuzzy Coreference Cluster Graphs}},
  booktitle =    {Proceedings of Document Understanding Workshop (DUC)},
  year =         {2006},
  month =        {June 8--9},
  address =      {New York City, NY, USA},
  note =         {\url{http://www-nlpir.nist.gov/projects/duc/pubs/2006papers/20.final.pdf}}
}

You can also visit the DUC 2006 proceedings website.

Download

URL: http://duc.nist.gov/pubs/2006papers/20.final.pdf. Also available: local copy.
MD5 checksum: a7820551c10d34836ef21d00f11cf131

Copyright © 2006 René Witte, Ralf Krestel, and Sabine Bergler. All rights reserved.