Natural Language Processing based on Semantic inferentialism for extracting crime information from text

Pinheiro, Vládia; Furtado, Vasco; Pequeno, Tarcisio H. C.; Nogueira, Douglas José

doi:10.1109/isi.2010.5484783

Cited by 30 publications

(9 citation statements)

References 8 publications

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“…Pinheiro and Furtado [15] proposed the semantic inferentialism-based natural language processing model to extract crime information from unstructured text. In addition, this framework particularly provided the adaptation of the collaborative environments on the Web.…”

Section: Entity Extractionmentioning

confidence: 99%

A review of data mining applications in crime

Hassani

Huang

Silva

et al. 2016

Statistical Analysis

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Crime continues to remain a severe threat to all communities and nations across the globe alongside the sophistication in technology and processes that are being exploited to enable highly complex criminal activities. Data mining, the process of uncovering hidden information from Big Data, is now an important tool for investigating, curbing and preventing crime and is exploited by both private and government institutions around the world. The primary aim of this paper is to provide a concise review of the data mining applications in crime. To this end, the paper reviews over 100 applications of data mining in crime, covering a substantial quantity of research to date, presented in chronological order with an overview table of many important data mining applications in the crime domain as a reference directory. The data mining techniques themselves are briefly introduced to the reader and these include entity extraction, clustering, association rule mining, decision trees, support vector machines, naive Bayes rule, neural networks and social network analysis amongst others

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Section: Entity Extractionmentioning

confidence: 99%

A review of data mining applications in crime

Hassani

Huang

Silva

et al. 2016

Statistical Analysis

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“…Para el idioma portugués, se encuentra el trabajo de [17] en el que los autores emplean la EI y un análisis semántico para enriquecer automáticamente la información sobre crímenes presentes en el sitio colaborativo WikiCrimes 2 . Por otro lado, para el idioma alemán se encontró el trabajo [22] en el cual se propone la creación de un corpus especializado del plagio con la intención de utilizarlo para la detección de plagio de documentos.…”

Section: Estado Del Arteunclassified

Creación y clasificación de un corpus criminológico en español usando características lingüísticas superficiales

Jiménez¹,

Sánchez²,

Torres‐Moreno³

et al. 2016

RCS

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“…Lexical-semantic bases in Portuguese, for example, WordNet.Pt [17], WordNet.Br [32], VerbNet-Br [30] and Propbank-Br [11] are already available, and a commonsense base for Brazilian Portuguese-OMCS-Br-contains 250,000 common-sense relations. InferenceNet represents an evolution, because in addition to expressing around 700,000 common-sense relationships about concepts, these relations are qualified in terms of conditions of use of the concepts, allowing better and richer inferences from texts [25,28]. Figure 3 presents the phases of our method for acquisition of common-sense and inferentialist knowledge.…”

Section: A Knowledge Common Sense and Inferentialist Semantic Base-inmentioning

confidence: 99%

A semi-automated method for acquisition of common-sense and inferentialist knowledge

et al. 2012

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This paper presents a semi-automated method for the acquisition of common-sense and inferentialist concepts in Portuguese. Its innovative feature is a module of reasoning over the pre-existing knowledge that aims to offer original content to the user, helping in the expression of semantic relationships and validation of new concepts. This reasoning process is based on heuristics and syntactic analysis of noun phrases. A qualitative evaluation with users who interacted with the system built on the proposed method showed that the interactions made in the process of knowledge acquisition are more productive since the user is reminded about semantic relations and common-sense knowledge about the new concepts. Keywords Knowledge acquisition method • Common-sense knowledge • Inferentialist knowledge 1 Introduction Common-sense knowledge consists of spatial, physical, social, temporal and psychological facts, and knowledge, possessed by most people, which are fruits of daily life This is a revised and extended version of a previous paper that appeared at STIL 2011, the 8th Brazilian Symposium in Information and Human Language Technology.

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Natural Language Processing based on Semantic inferentialism for extracting crime information from text

Cited by 30 publications

References 8 publications

A review of data mining applications in crime

A review of data mining applications in crime

Creación y clasificación de un corpus criminológico en español usando características lingüísticas superficiales

A semi-automated method for acquisition of common-sense and inferentialist knowledge

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