On the use of parsing for named entity recognition
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 …
structure underlying sentences in human languages. Named entity recognition (NER) is the …
DptOIE: a Portuguese open information extraction based on dependency analysis
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 …
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 …
an organization in the recent years. CI gives support to the strategic business area and …
Crossoie: Cross-lingual classifier for open information extraction
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 …
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
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 …
from text. Recent advances in applying Deep Learning to OpenIE tasks have improved the …
[PDF][PDF] Explainable OpenIE Classifier with Morpho-syntactic Rules.
Open information extraction (OpenIE) is a task of extracting structured information from
unstructured texts independently of the domain. Recent advances have applied Deep …
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
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 …
in jargon that makes them hard to understand for ordinary citizens, researchers, journalists …
Reconhecimento de Entidades Nomeadas e Vazamento de Dados em Textos Legislativos
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 …
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 …
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 …
implementada em várias áreas, incluindo a área do património cultural. Os arquivos têm …