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Automatic Information Extraction: A Distant Reading of the Brazilian Historical-Biographical Dictionary

استخراج المعلومات التلقائي: قراءة بعيدة للقاموس التاريخي والسيرة الذاتية البرازيلي
Authors: Suemi Higuchi; Cláudia Freitas; Diana Santos;

Automatic Information Extraction: A Distant Reading of the Brazilian Historical-Biographical Dictionary

Abstract

Nous présentons quelques résultats de l'application de techniques de traitement du langage naturel (PNL) dans le domaine de l'histoire, ayant pour objet d'investigation le Dictionnaire Historique-Biographique Brésilien (Dicionário Histórico-Biográfico Brasileiro, DHBB). Après avoir amélioré ou ajouté l'annotation de domaines spécifiques, des techniques d'extraction d'informations basées sur des modèles dérivés manuellement ont été appliquées à trois problèmes pertinents : l'âge d'entrée dans la politique brésilienne, le parcours académique des politiciens brésiliens et les liens familiaux entre les élites politiques.

Presentamos algunos resultados de la aplicación de técnicas de procesamiento del lenguaje natural (PNL) en el dominio de la Historia, teniendo como objeto de investigación el Diccionario Histórico-Biográfico Brasileño (DHBB). Después de mejorar o agregar anotaciones de campos específicos, se aplicaron técnicas de extracción de información basadas en patrones derivados manualmente a tres problemas relevantes: la edad de entrada en la política brasileña, la formación académica de los políticos brasileños y los lazos familiares entre las élites políticas.

We present some results of applying natural language processing (NLP) techniques in the domain of History, having as object of investigation the Brazilian Historical-Biographical Dictionary (Dicionário Histórico-Biográfico Brasileiro, DHBB). After improving or adding annotation of specific fields, information extraction techniques based on manually derived patterns were applied to three relevant problems: the age of entrance in Brazilian politics, the academic background of Brazilian politicians, and family ties among the political elites.

نقدم بعض نتائج تطبيق تقنيات معالجة اللغة الطبيعية (البرمجة اللغوية العصبية) في مجال التاريخ، كموضوع للتحقيق في القاموس التاريخي والسيرة الذاتية البرازيلي (Dicionário Histórico - Biográfico Brasileiro، DHBB). بعد تحسين أو إضافة شرح لمجالات محددة، تم تطبيق تقنيات استخراج المعلومات القائمة على أنماط مشتقة يدويًا على ثلاث مشاكل ذات صلة: سن الدخول في السياسة البرازيلية، والخلفية الأكاديمية للسياسيين البرازيليين، والروابط الأسرية بين النخب السياسية.

Keywords

Artificial intelligence, 330, Information extraction, Annotation, FOS: Political science, Extraction, FOS: Law, Mathematical analysis, Reading (process), Artificial Intelligence, FOS: Mathematics, Political science, Natural Language Processing, Domain (mathematical analysis), Natural language processing, Politics, Linguistics, Statistical Machine Translation and Natural Language Processing, Computer science, FOS: Philosophy, ethics and religion, Automatic Keyword Extraction from Textual Data, Philosophy, Computer Science, Physical Sciences, FOS: Languages and literature, Object (grammar), Law, Mathematics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green