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Digging into Human Rights Documents


The objective of this research project is to develop a software toolset that mines a large set of unstructured text archives of human rights abuses. The software tool is designed to discover stories of hidden human rights victims and unidentified perpetrators. These stories do not exist in one document, but as fragments of text embedded across multiple documents. Thus, these stories can be identified only when reading across a large number of related documents. The current approach of manually reading to identify such stories is extremely tedious, time consuming, unsystematic, and error-prone. Human readers find it difficult to correlate the identity of victims, perpetrators, and details of abuse that reside across multiple documents. Thus, success of this project has large implications for the human rights community, as currently there is a lack of adequate tool support for automatically reading and identifying stories from large-scale unstructured text document sets.

Project Funding

This project received 2011 Digging Into Data Challenge Award. US team is funded by the National Science Foundation (NSF), Award no.: #1209172 and Canadian team is funded by Social Sciences and Humanities Research Council (SSHRC). US team is led by Dr. Ben Miller from Georgia State University and the Canadian team is led by Dr. Lu Xiao from Western University. I am co-PI for the US team and UNF is sub-recipient for this award.

The project team includes faculty, graduate students, and industry partners in the US and Canada with expertise in text analytics, natural language processing, qualitative research methods, rhetoric, human rights testimony, archival practice and theory, interface research and design, and complex software development.

More Information:

Related Publications

  1. A Text Mining Solution for Automating CIRI Human Rights Practices Rating Coding Scheme. Presented at the Florida Digital Humanities Consortium, Jacksonville, FL, March 2019.
     
  2. Karthikeyan Umapathy. Digging into Human Rights Documents. In Poster presented at the UNF International Studies Symposium, Jacksonville, FL, USA, March 2018.
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  3. Joshua Joiner, Karthikeyan Umapathy. Automating CIRI Ratings of Human Rights Reports Using GATE: Evaluation Results. In Poster presented at the UNF DHI Digital Projects Showcase, Jacksonville, FL, USA, November 2017.
      SlideShare     
  4. Joshua Joiner, Karthikeyan Umapathy. Automating CIRI Ratings of Human Rights Reports Using GATE. In Poster presented at the UNF DHI Digital Projects Showcase, Jacksonville, FL, USA, November 2016.
      SlideShare     
  5. Ben Miller, Lu Xiao, Karthikeyan Umapathy. Digging into Human Rights Violations: Anaphora Resolution and Emergent Witnesses. White Paper submitted to the National Endowment for the Humanities (NEH) , October 2015.
     
  6. Ben Miller, Ayush Shrestha, Jason Derby, Jennifer Olive, Fuxin Li, Karthikeyan Umapathy. Digging into Human Rights Violations: Data Modeling Collective Memory. In Proceedings of the IEEE Big Data: Workshop on Big Humanities, Santa Clara, CA, USA, October 2013.
      DOI       Google Scholar Page     
  7. Ben Miller, Fuxin Li, Ayush Shrestha, Karthikeyan Umapathy. Digging into Human Rights Violations: phrase mining and trigram visualization. In Proceedings of the Digital Humanities, Lincoln, Nebraska, USA, July 2013.
      DOI       Google Scholar Page     
  8. Karthikeyan Umapathy. Digging into Human Rights Violation. In Poster presented as a part of UNF CCEC College Dean council meeting, Jacksonville, FL, USA, April 2013.
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  9. Karthikeyan Umapathy. Digging into Human Rights Violation: What We Know and What We Don't. In Invited panel member. Faculty of Information and Media Studies, Western University, London, Canada, June 2012.