Skip to main content
SpringerLink
Log in

Studying a Personality Coreference Network in a News Stories Photo Collection

  • Conference paper
Advances in Information Retrieval (ECIR 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7224))

Included in the following conference series:

Abstract

We build and analyze a coreference network based on entities from photo descriptions, where nodes represent personalities and edges connect people mentioned in the same photo description. We identify and characterize the communities in this network and propose taking advantage of the context provided by community detection methodologies to improve text illustration and general search.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Blondel, V.D., Guillaume, J.L., Lambiotte, R., Lefebvre, E.: Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008, 10008 (2008), http://iopscience.iop.org/1742-5468/2008/10/P10008

  2. Coelho, F., Ribeiro, C.: Characterization of the SAPO-Labs News Stories Photo Collection (2011), http://www.inescporto.pt/~fcoelho/web/_media/files/2011sapolabs.pdf

  3. Gargi, U., Lu, W., Mirrokni, V., Yoon, S.: Large-Scale Community Detection on YouTube for Topic Discovery and Exploration. In: Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media (ICWSM 2011), pp. 486–489 (2011), http://www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/download/2864/3256

  4. R Development Core Team: R: A language and environment for statistical computing. In: R Foundation for Statistical Computing, Vienna, Austria (2011), http://www.r-project.org

Download references

Author information

Authors and Affiliations

  1. Labs SAPO/UP, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    José Devezas

  2. INESC TEC, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    Filipe Coelho, Sérgio Nunes & Cristina Ribeiro

  3. DEI, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    Filipe Coelho, Sérgio Nunes & Cristina Ribeiro

Authors
  1. José Devezas
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Filipe Coelho
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sérgio Nunes
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cristina Ribeiro
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Yahoo! Research, Diagonal 177, 08018, Barcelona, Spain

    Ricardo Baeza-Yates  & B. Barla Cambazoglu  & 

  2. Centrum Wiskunde & Informatica, Science Park 123, Amsterdam, The Netherlands

    Arjen P. de Vries

  3. Websays, Nàpols 294 7-4, 08025, Barcelona, Spain

    Hugo Zaragoza

  4. Yahoo! Research, Diagnoal 177, 08018, Barcelona, Spain

    Vanessa Murdock

  5. Yahoo! Labs, Tower 3, Matam Park, 31905, Haifa, Israel

    Ronny Lempel

  6. ISTI-CNR, via G. Moruzzi, 1, 56124, Pisa, Italy

    Fabrizio Silvestri

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Devezas, J., Coelho, F., Nunes, S., Ribeiro, C. (2012). Studying a Personality Coreference Network in a News Stories Photo Collection. In: Baeza-Yates, R., et al. Advances in Information Retrieval. ECIR 2012. Lecture Notes in Computer Science, vol 7224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28997-2_47

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-28997-2_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28996-5

  • Online ISBN: 978-3-642-28997-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation