Skip to main content
SpringerLink
Log in

Multilingual Protest Event Data Collection with GATE

  • Conference paper
  • First Online:
Natural Language Processing and Information Systems (NLDB 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9612))

Abstract

Protest event databases are key sources that sociologists need to study the collective action dynamics and properties. This paper describes a finite-state approach to protest event features collection from short texts (news lead sentences) in several European languages (Bulgarian, French, Polish, Russian, Spanish, Swedish) using the General Architecture for Text Engineering (GATE). The results of the annotation performance evaluation are presented.

Under partial support of the Government of the Russian Federation Grant 074-U01.

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 EPUB and 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

Notes

  1. 1.

    Event/Location: Dataset In A Box, Linux-Option: http://openeventdata.github.io/eldiablo/.

  2. 2.

    World-Wide Integrated Crisis Early Warning System: http://www.lockheedmartin.com/us/products/W-ICEWS/iData.html.

  3. 3.

    Rosette Linguistics Platform: http://www.basistech.com/text-analytics/rosette/.

  4. 4.

    General Architecture for Text Engineering: http://gate.ac.uk.

  5. 5.

    Python-based Scrapy crawling framework: http://scrapy.org.

  6. 6.

    Java Annotation Patterns Language:

    http://en.wikipedia.org/wiki/JAPE_(linguistics).

  7. 7.

    DBpedia: http://dbpedia.org.

  8. 8.

    Protégé ontology editor: http://protege.stanford.edu.

  9. 9.

    Gazetteer LKB: https://confluence.ontotext.com/display/KimDocs37EN/Large+ Knowledge+Base+(LKB)+gazetteer.

  10. 10.

    Linked Data Gazetteer PR: https://confluence.ontotext.com/display/SWS/Linked+ Data+Gazetteer+PR.

  11. 11.

    TreeTagger: http://www.ims.uni-stuttgart.de/projekte/corplex/TreeTagger/.

  12. 12.

    The Stockholm Tagger:

    http://www.ling.su.se/english/nlp/tools/stagger/stagger-the-stockholm-tagger-1.98986.

  13. 13.

    BWP Gazetteer: https://sourceforge.net/projects/bwp-gazetteer/.

  14. 14.

    https://code.google.com/archive/p/gateplugin-japeutils/wikis/Constraints.wiki.

  15. 15.

    http://nlp.stanford.edu/IR-book/html/htmledition/evaluation-of-unranked-retrieval-sets-1.html.

References

  1. Boschee, E., Weischedel, R., Zamanian, A.: Automatic information extraction. In: Proceedings of the International Conference on Intelligence Analysis (2005)

    Google Scholar 

  2. Danilova, V., Alexandrov, M., Blanco, X.: A survey of multilingual event extraction from text. In: Métais, E., Roche, M., Teisseire, M. (eds.) NLDB 2014. LNCS, vol. 8455, pp. 85–88. Springer, Heidelberg (2014)

    Google Scholar 

  3. Danilova, V.: A pipeline for multilingual protest event selection and annotation. In: Proceedings of TIR15 Workshop (Text-based Information Retrieval), pp. 309–314. IEEE (2015)

    Google Scholar 

  4. Danilova, V., Popova, S.: Socio-political event extraction using a rule-based approach. In: Meersman, R., et al. (eds.) OTM 2014. LNCS, vol. 8842, pp. 537–546. Springer, Heidelberg (2014)

    Google Scholar 

  5. Dobrovolskiy, D., Pöppel, L.: Lexical synonymy within the semantic field POWER. In: Chahine, I.K. (ed.) Current Studies in Slavic Linguistics, pp. 281–295 (2013)

    Google Scholar 

  6. Eriksson, M., Gambäck, B.: SVENSK: a toolbox of Swedish language processing resources. In: Proceedings of the 2nd International Conference on Recent Advances in Natural Language Processing (RANLP), Tzigov Chark, Bulgaria, pp. 336–341 (1997)

    Google Scholar 

  7. Hayes, M., Nardulli, P.F.: SPEEDs Societal Stability Protocol and the Study of Civil Unrest: an Overview and Comparison with Other Event Data Projects, October 2011. Cline Center for Democracy University of Illinois at Urbana-Champaign (2011)

    Google Scholar 

  8. Hogenboom, F., Frasincar, F., Kaymak, U., de Jong, F.: An overview of event extraction from text. In: Workshop on Detection, Representation, and Exploitation of Events in the Semantic Web (DeRiVE 2011), vol. 779, pp. 48–57. CEUR Workshop Proceedings (2011)

    Google Scholar 

  9. Leetaru, K.: Automatic Document Categorization for Highly Nuanced Topics in Massive-Scale Document Collections: The SPEED BIN Program. Cline Center for Democracy University of Illinois at Urbana-Champaign, March 2011

    Google Scholar 

  10. Lejeune, G.: Structure patterns in information extraction: a multilingual solution? In: Advances in Method of Information and Communication Technology AMICT 2009, Petrozavodsk, Russia, vol. 11, pp. 105–111 (2009)

    Google Scholar 

  11. Llorens, H., Derczynski, L., Gaizauskas, R.J., Saquete, E.: TIMEN: an open temporal expression normalisation resource. In: LREC, vol. 34, pp. 3044–3051 (2012)

    Google Scholar 

  12. Muthiah, S., Huang, B., Arredondo, J., Mares, D., Getoor, L., Katz, G., Ramakrishnan, N.: Planned protest modeling in news and social media. In: AAAI 2005, pp. 3920–3927 (2015)

    Google Scholar 

  13. Schrodt, P.A.: KEDS: Kansas Event Data System, version 1.0 (1998)

    Google Scholar 

  14. Schrodt, P.A.: CAMEO: Conflict and mediation event observations. event and actor codebook. Department of Political Science, Pennsylvania State University, Version: 1.1b3, March 2012

    Google Scholar 

  15. Schrodt, P.A.: GDELT: global data on events, location and tone. In: Workshop at the Conflict Research Society, Essex University, 17 September 2013

    Google Scholar 

  16. Danilova, V.: Linguistic support for protest event data collection. Ph.D. Thesis, Autonomous University of Barcelona, 27th November 2015. http://www.tdx.cat/handle/10803/374232

  17. Wunderwald, M.: Event Extraction from News Articles (Diploma Thesis), Dresden University of Technology, Department of Computer Science (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Russian Presidential Academy (RANEPA), Moscow, Russia

    Vera Danilova & Mikhail Alexandrov

  2. Autonomous University of Barcelona, Barcelona, Spain

    Vera Danilova & Mikhail Alexandrov

  3. ITMO University, St. Petersburg, Russia

    Vera Danilova & Svetlana Popova

  4. Saint Petersburg State University, St. Petersburg, Russia

    Svetlana Popova

Authors
  1. Vera Danilova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Svetlana Popova
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mikhail Alexandrov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Vera Danilova .

Editor information

Editors and Affiliations

  1. ConservatoireNational desArts et Métiers, Paris, France

    Elisabeth Métais

  2. University of Salford, Salford, United Kingdom

    Farid Meziane

  3. University of Salford, Salford, United Kingdom

    Mohamad Saraee

  4. Oakland University, Rochester, Michigan, USA

    Vijayan Sugumaran

  5. University of Salford, Salford, United Kingdom

    Sunil Vadera

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Danilova, V., Popova, S., Alexandrov, M. (2016). Multilingual Protest Event Data Collection with GATE. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham. https://doi.org/10.1007/978-3-319-41754-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-41754-7_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41753-0

  • Online ISBN: 978-3-319-41754-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation