Summary of the paper

Title An Approach to Modeling Heterogeneous Resources for Information Extraction
Authors Lei Xia and Jose Iria
Abstract In this paper, we describe an approach that aims to model heterogeneous resources for information extraction. Document is modeled in graph representation that enables better understanding of multi-media document and its structure which ultimately could result better cross-media information extraction. We also describe our proposed algorithm that segment document-based on the document modeling approach we described in this paper.
Language
Topics Knowledge representation, Information Extraction, Information Retrieval, Tools, systems, applications
Full paper An Approach to Modeling Heterogeneous Resources for Information Extraction
Slides -
Bibtex @InProceedings{XIA08.702,
  author = {Lei Xia and Jose Iria},
  title = {An Approach to Modeling Heterogeneous Resources for Information Extraction},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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