On the use of parsing for named entity recognition

MA Alonso, C Gómez-Rodríguez, J Vilares - Applied sciences, 2021 - mdpi.com
Parsing is a core natural language processing technique that can be used to obtain the
structure underlying sentences in human languages. Named entity recognition (NER) is the …

DptOIE: a Portuguese open information extraction based on dependency analysis

L Oliveira, DB Claro, M Souza - Artificial Intelligence Review, 2023 - Springer
It is estimated that more than 80% of the information on the Web is stored in textual form. As
such, it has become increasingly difficult for humans to sort and extract useful information …

Relation extraction for competitive intelligence

S Collovini, PN Gonçalves, G Cavalheiro… - … Processing of the …, 2020 - Springer
Competitive intelligence (CI) has become one of the major subjects for strategic process in
an organization in the recent years. CI gives support to the strategic business area and …

Crossoie: Cross-lingual classifier for open information extraction

BS Cabral, R Glauber, M Souza, DB Claro - Computational Processing of …, 2020 - Springer
Open information extraction (Open IE) is the task of extracting open-domain assertions from
natural language sentences. Considering the low availability of datasets and tools for this …

Portnoie: A neural framework for open information extraction for the portuguese language

B Cabral, M Souza, DB Claro - International Conference on Computational …, 2022 - Springer
Abstract Open Information Extraction (OpenIE) is the task of extracting structured information
from text. Recent advances in applying Deep Learning to OpenIE tasks have improved the …

[PDF][PDF] Explainable OpenIE Classifier with Morpho-syntactic Rules.

BS Cabral, M Souza, DB Claro - HI4NLP@ ECAI, 2020 - ceur-ws.org
Open information extraction (OpenIE) is a task of extracting structured information from
unstructured texts independently of the domain. Recent advances have applied Deep …

[PDF][PDF] A Named Entity Recognition Approach for Portuguese Legislative Texts Using Self-Learning

RO Nunes, DG Balreira, AS Spritzer… - Proceedings of the …, 2024 - aclanthology.org
Even if technology has made legislative documents more accessible, they are often written
in jargon that makes them hard to understand for ordinary citizens, researchers, journalists …

Reconhecimento de Entidades Nomeadas e Vazamento de Dados em Textos Legislativos

RO Nunes, AS Spritzer, CMDS Freitas… - Linguamática, 2024 - linguamatica.com
Este trabalho trata do vazamento de dados no treinamento de modelos de Reconhecimento
de Entidades Nomeadas (NER) em textos legislativos em português brasileiro, resultante de …

Text mining de relatórios clínicos

ACM Gonçalves - 2023 - repositorio.iscte-iul.pt
No âmbito do projeto de investigação em Inteligência Artificial AIM Health, foram obtidos
ficheiros de texto, em português europeu, com relatórios de procedimentos e exames …

ArchMine: Learning from non-machine-readable documents for additional insights

MF Dias - 2023 - search.proquest.com
Dados Ligados são uma nova forma de estruturar e conectar dados que tem vindo a ser
implementada em várias áreas, incluindo a área do património cultural. Os arquivos têm …