Next Article in Journal
Idempotent Factorizations of Square-Free Integers
Previous Article in Journal
Editorial for the Special Issue on “Modern Recommender Systems: Approaches, Challenges and Applications”
Previous Article in Special Issue
Multilingual Open Information Extraction: Challenges and Opportunities
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle

Assisting Forensic Identification through Unsupervised Information Extraction of Free Text Autopsy Reports: The Disappearances Cases during the Brazilian Military Dictatorship

1
Research Center on Information Technologies (CiTIUS), University of Santiago de Compostela, Jenaro de la Fuente Domínguez, s/n, 15782 Santiago de Compostela, Spain
2
Institute of Heritage Sciences (Incipit), Spanish National Research Council (CSIC), Avda. Vigo, s/n, 15705 Santiago de Compostela, Spain
*
Author to whom correspondence should be addressed.
Information 2019, 10(7), 231; https://doi.org/10.3390/info10070231
Received: 31 May 2019 / Revised: 27 June 2019 / Accepted: 3 July 2019 / Published: 5 July 2019
(This article belongs to the Special Issue Natural Language Processing and Text Mining)
  |  
PDF [7236 KB, uploaded 8 July 2019]
  |  

Abstract

Anthropological, archaeological, and forensic studies situate enforced disappearance as a strategy associated with the Brazilian military dictatorship (1964–1985), leaving hundreds of persons without identity or cause of death identified. Their forensic reports are the only existing clue for people identification and detection of possible crimes associated with them. The exchange of information among institutions about the identities of disappeared people was not a common practice. Thus, their analysis requires unsupervised techniques, mainly due to the fact that their contextual annotation is extremely time-consuming, difficult to obtain, and with high dependence on the annotator. The use of these techniques allows researchers to assist in the identification and analysis in four areas: Common causes of death, relevant body locations, personal belongings terminology, and correlations between actors such as doctors and police officers involved in the disappearances. This paper analyzes almost 3000 textual reports of missing persons in São Paulo city during the Brazilian dictatorship through unsupervised algorithms of information extraction in Portuguese, identifying named entities and relevant terminology associated with these four criteria. The analysis allowed us to observe terminological patterns relevant for people identification (e.g., presence of rings or similar personal belongings) and automate the study of correlations between actors. The proposed system acts as a first classificatory and indexing middleware of the reports and represents a feasible system that can assist researchers working in pattern search among autopsy reports. View Full-Text
Keywords: information extraction; named entity recognition; terminology extraction; autopsy reports information extraction; named entity recognition; terminology extraction; autopsy reports
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Martin-Rodilla, P.; Hattori, M.L.; Gonzalez-Perez, C. Assisting Forensic Identification through Unsupervised Information Extraction of Free Text Autopsy Reports: The Disappearances Cases during the Brazilian Military Dictatorship. Information 2019, 10, 231.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top