Resumen Named Entity Recognition (NER) is an important task in Natural Language
Processing, as it is a key information extraction sub-task with numerous applications, such …

Automatically evaluating essays is still a hard problem to be dealt with intelligent algorithms.
The majority of approaches try to find shallow features to infer the grade such as the number …

Abstract Named Entity Recognition (NER) is the task of automatically identifying named
entities and classifying them into predefined categories such as person, place, organization …

Named Entity Recognition is the task of automatically identifying named entities and
classifying them into predefined categories such as person, place, organization, among …

Pharmaceutical package inserts are a rich source of information about medicines. To guide
the patient, health professionals need information about the appropriate medication for an …

Context: The medicine inserts or pharmaceutical inserts are documents accompanying the
medicines in their packaging with information and guidance to the patient. Problem …

Anthropological, archaeological, and forensic studies situate enforced disappearance as a
strategy associated with the Brazilian military dictatorship (1964–1985), leaving hundreds of …

An index is a very good tool for finding the necessary information from a set of documents.
So far, the extant index tools in both the printed and digital newspaper versions are not …

This work aims to present and describe the methodology used for the automatic Information
Extraction from pharmaceutical package inserts based on Named Entities Recognition and …

The issue of recommending an appropriate piece of information has become essential for
the news portals. In this context, a well founded ontological layer represents actually an …