Purpose This article presents two Brazilian Portuguese corpora collected from different
media concerning public security issues in a specific location. The primary motivation is …

Quotation extraction consists of identifying quotations and their authors. In this work, we
present a Quotation Extraction system for Portuguese that is based on Entropy Guided …

This chapter details the entropy guided transformation learning algorithm [8, 23]. ETL is an
effective way to overcome the transformation based learning bottleneck: the construction of …

In this work, we apply and evaluate a machine-learning-based system to Portuguese clause
identification. To the best of our knowledge, this is the first machine-learning-based …

Abstract Part-of-speech (POS) tagging for morphologically rich languages normally requires
the use of handcrafted features that encapsulate clues about the language's morphology. In …

Text segmentation is the process of recognizing boundaries of text constituents, such as
sentences, phrases and words. This paper focuses on phrase segmentation also known as …

The Dependency-based syntactic parsing task consists in identifying a head word for each
word in an input sentence. Hence, its output is a rooted tree where the nodes are the words …

ABSTRACT Current Natural Language Processing tools provide shallow semantics for
textual data. These kind of knowledge could be used in the Semantic Web. In this paper, we …

O Reconhecimento de Entidades Mencionadas (REM) é uma subtarefa da extração de
informações e tem como objetivo localizar e classificar elementos do texto em categorias …

Entropy Guided Transformation Learning (ETL) is a machine learning strategy that extends
Transformation Based Learning by providing automatic template generation. In this work, we …