A flexible text analyzer based on ontologies: an application for detecting discriminatory language.
Language can be a tool to marginalize certain groups due to the fact that it may reflect a negative mentality caused by mental barriers or historical delays. In order to prevent misuse of language, several agents have carried out campaigns against discriminatory language, criticizing the use of some...
| Published in: | Language Resources & Evaluation Vol. 52; no. 1; pp. 185 - 216 |
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| Main Authors: | , |
| Format: | Article |
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Springer Nature
Mar2018
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=127930798&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 127930798 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2018 vid: 52 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 127930798 10.1007/s10579-017-9387-6 ppf: 185 ppct: 31 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1MB tig: atl: A flexible text analyzer based on ontologies: an application for detecting discriminatory language. aug: au: Salguero, Alberto Espinilla, Macarena affil: Department of Computer Sciences, University of Cádiz, Cádiz, Spain Department of Computer Sciences, University of Jaén, Jaén, Spain su: Discriminatory language Ontologies (Information retrieval) Language & languages Knowledge management Existentialism sug: subj: Discriminatory language Ontologies (Information retrieval) Language & languages Knowledge management Existentialism keyword: Document text model Methodology Ontology Text analyzer ab: Language can be a tool to marginalize certain groups due to the fact that it may reflect a negative mentality caused by mental barriers or historical delays. In order to prevent misuse of language, several agents have carried out campaigns against discriminatory language, criticizing the use of some terms and phrases. However, there is an important gap in detecting discriminatory text in documents because language is very flexible and, usually, contains hidden features or relations. Furthermore, the adaptation of approaches and methodologies proposed in the literature for text analysis is complex due to the fact that these proposals are too rigid to be adapted to different purposes for which they were intended. The main novelty of the methodology is the use of ontologies to implement the rules that are used by the developed text analyzer, providing a great flexibility for the development of text analyzers and exploiting the ability to infer knowledge of the ontologies. A set of rules for detecting discriminatory language relevant to gender and people with disabilities is also presented in order to show how to extend the functionality of the text analyzer to different discriminatory text areas. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2018. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2018 holdings: @attributes: islocal: N |
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