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ner-re-pt's Introduction

Named entity extraction from Portuguese web text

My master dissertation on Named entity extraction from Portuguese web text, at FEUP (Faculty of Engineering of University of Porto).

Entity extraction using well-established tools (OpenNLP, Stanford CoreNLP, spaCy and NLTK) for the Portuguese language, and more specifically for the news section in University of Porto Information System - SIGARRA and all its subdomains.

Author: André Ricardo Oliveira Pires

Supervisor: Sérgio Nunes

Co-supervisor: José Devezas

In colaboration with: FEUP InfoLab and INESC TEC

For more information, regarding the developing process, guidelines for each tool, results obtained, resources created (trained NER models and annotated dataset) and more, check wiki.

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mauricioribeiro gazzola pvcastro alanrabelo professordezani hdmarques chankeypathak lovehoroscoper lucas-china ameyn21 renatotn7 lhbonifacio jvguinelli sekmet jorgeih carlosnasc88 marcelfenerich matheusrodriguesf catiaat harel-coffee

ner-re-pt's Issues

Provide pre-trained models

Is there any way you could provide here or on a file storage service one of your pre-trained NER models? I'm struggling to create a custom Portuguese Chunker and NER tagger following your methodology. So it would be a great contribution to have a least one of the NLTK models

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