Applying Deep Neural Networks to Named Entity Recognition in Portuguese Texts

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Ivo Fernandes (Author) Other; Henrique Lopes Cardoso (Author) FEUP; Eugénio Oliveira (Author) FEUP

Conference proceedings International

Title: 2018 5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018

Pages: 284-289

5th International Conference on Social Networks Analysis, Management and Security, SNAMS 2018

15 October 2018 through 18 October 2018

Indexing

ISI Web of Knowledge - 1 Citation

Scopus

INSPEC

Other information

Authenticus ID: P-00Q-JQ3

Abstract (EN): There is currently few research in using deep learning (DL) applied to Named Entities Recognition (NER) in Portuguese texts. This work exposes some challenges and limitations but also the benefits of applying DL architectures to NER in Portuguese. Four different DL architectures are applied to Portuguese datasets. All architectures are heavily influenced by previous published work in NER applied to English. Annotated data is used to train and test NER models, while non-annotated data is used to train word embeddings, as well as being a key part of a bootstrapping approach, where raw textual data is used to create NER models.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6