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A Review on Relations Extraction in Police Reports

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 930))

Abstract

Relation Extraction (RE) is part of Information Extraction (IE) and aims to obtain instances of semantic relations in textual documents. The countless possibilities of relations, the myriad of subjects, the difficulty in identifying emotions and the amount of unstructured and heterogeneous data, have challenged the researchers to define innovative and even more accurate methodologies. This paper presents the evaluation results obtained with a set of RE systems on identifying semantic relations in criminal police reports. We have evaluated different applications with documents in English and Portuguese. The results obtained give us useful insights to continue the research work, and to design the relation extraction system applied to related domain.

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Notes

  1. 1.

     https://wiki.dbpedia.org/.

  2. 2.

     https://www.linguateca.pt/cetenfolha/.

  3. 3.

     https://opennlp.apache.org/.

  4. 4.

     http://knowitall.github.io/ollie/.

  5. 5.

     http://reverb.cs.washington.edu/.

  6. 6.

     https://github.com/citiususc/Linguakit.

  7. 7.

     https://gramatica.usc.es/pln/.

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Correspondence to Gonçalo Carnaz .

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Carnaz, G., Quaresma, P., Beires Nogueira, V., Antunes, M., Fonseca Ferreira, N.N.M. (2019). A Review on Relations Extraction in Police Reports. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) New Knowledge in Information Systems and Technologies. WorldCIST'19 2019. Advances in Intelligent Systems and Computing, vol 930. Springer, Cham. https://doi.org/10.1007/978-3-030-16181-1_47

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