Sharing data in the form of text is important for a wide range of activities but it also raises a
concern about privacy when sharing data that could be sensitive. Automated text …

This paper presents a machine learning method for resolving place references in text, ie
linking character strings in documents to locations on the surface of the Earth. This is a …

Abstract During a Futures Study, researchers analyze a significant quantity of information
dispersed across multiple document databases to gather conjectures about future events …

ABSTRACT Named Entity Recognition (NER) is a crucial task in natural language
processing and has a wide range of applications in communication science. However, there …

Abstract Named Entity Recognition involves automatically identifying and classifying entities
such as persons, places, and organizations, and it is a very important task in Information …

A avaliação de aprendizagem é fundamental para a detecção dos problemas
metodológicos do ensino. Uma verificação eficiente do ensino deve abordar boa parte do …

In the process of creating a Technological Roadmap, a large amount of data must be
analyzed, and future events may be spread across several document databases, making it …

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 …

This paper reports on the NER annotation of the ELTeC-por collection, a collection of
hundred Portuguese novels published between 1840 and 1920, compiled in the scope of …