Learning Named Entity Recognition in Portuguese from Spanish

A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features

Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance in the Persian language if they are trained with good features. To get good performanc...

Named Entity Recognition in Persian Text using Deep Learning

Named entities recognition is a fundamental task in the field of natural language processing. It is also known as a subset of information extraction. The process of recognizing named entities aims at finding proper nouns in the text and classifying them into predetermined classes such as names of people, organizations, and places. In this paper, we propose a named entity recognizer which benefi...

Tackling HAREM’s Portuguese Named Entity Recognition task with Spanish resources

MALINCHE: A NER system for Portuguese that reuses knowledge from Spanish

Exploiting Named Entity Taggers in a Second Language

In this work we present a method for Named Entity Recognition (NER). Our method does not rely on complex linguistic resources, and apart from a hand coded system, we do not use any languagedependent tools. The only information we use is automatically extracted from the documents, without human intervention. Moreover, the method performs well even without the use of the hand coded system. The ex...