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Analysing entity distribution in an annotated 18th-century historical source

De Los Reyes, Daniel; Vieira, Renata; Olival, Fernanda; Cameron, Helena; Farrica, Fatima

This paper presents a distribution analysis of named entities in a historical source, an 18th century Portuguese text collection. The source has been transcribed, revised, normalised and annotated manually with the help of an annotation tool. The distribution analysis was carried out automatically with the help of an extraction parser applied to the annotated texts. The central question of this text is to analy...


Related Named Entities Classification in the Economic-Financial Context

De Los Reyes, Daniel; Barcelos, Allan; Vieira, Renata; Manssour, Isabel

The present work uses the Bidirectional Encoder Representations from Transformers(BERT) to process a sentence and its entities and indicate whether two named entities present in a sentence are related or not, constituting a binary classification problem. It was developed for the Portuguese language, considering the financial domain and exploring deep linguistic representations to identify a relation between ent...


Entity Relation Extraction from News Articles in Portuguese for Competitive Int...

De Los Reyes, Daniel; Trajano, Douglas; Manssour, Isabel; Vieira, Renata; Bordini, Rafael

Competitive intelligence (CI) is a relevant area of a corporation and can support the strategic business area by showing those responsible, helping decision making on how to position an organization in the market. This work uses the Bidirectional Transformer Encoding Representations (BERT) to process a sentence and its named entities and extract the parts of the sentences that represent or describe the semantic...


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