Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Erick Galani Maziero is active.

Publication


Featured researches published by Erick Galani Maziero.


document engineering | 2008

Towards Brazilian Portuguese automatic text simplification systems

Sandra Maria Aluísio; Lucia Specia; Thiago Alexandre Salgueiro Pardo; Erick Galani Maziero; Renata Pontin de Mattos Fortes

In this paper we investigate the main linguistic phenomena that can make texts complex and how they could be simplified. We focus on a corpus analysis of simple account texts available on the web for Brazilian Portuguese and propose simplification strategies for this language. This study illustrates the need for text simplification to facilitate accessibility to information by poor literacy readers and potentially by people with other cognitive disabilities. It also highlights characteristics of simplification for Portuguese, which may differ from other languages. Such study consists of the first step towards building Brazilian Portuguese text simplification systems. One of the scenarios in which these systems could be used is that of reading electronic texts produced, e.g., by the Brazilian government or by relevant news agencies.


workshop on innovative use of nlp for building educational applications | 2009

Supporting the Adaptation of Texts for Poor Literacy Readers: a Text Simplification Editor for Brazilian Portuguese

Arnaldo Candido; Erick Galani Maziero; Lucia Specia; Caroline Gasperin; Thiago Alexandre Salgueiro Pardo; Sandra Maria Aluísio

In this paper we investigate the task of text simplification for Brazilian Portuguese. Our purpose is three-fold: to introduce a simplification tool for such language and its underlying development methodology, to present an on-line authoring system of simplified text based on the previous tool, and finally to discuss the potentialities of such technology for education. The resources and tools we present are new for Portuguese and innovative in many aspects with respect to previous initiatives for other languages.


brazilian symposium on multimedia and the web | 2008

A base de dados lexical e a interface web do TeP 2.0: thesaurus eletrônico para o Português do Brasil

Erick Galani Maziero; Thiago Alexandre Salgueiro Pardo; Ariani Di Felippo; Bento Carlos Dias-da-Silva

In this paper, we describe the TeP 2.0 -- Electronic Thesaurus for Brazilian Portuguese -- which stores sets of synonym and antonym word forms. Specifically, we present the lexical database and the Web interface of TeP 2.0.


international conference on design of communication | 2008

A corpus analysis of simple account texts and the proposal of simplification strategies: first steps towards text simplification systems

Sandra Maria Aluísio; Lucia Specia; Thiago Alexandre Salgueiro Pardo; Erick Galani Maziero; Helena de Medeiros Caseli; Renata Pontin de Mattos Fortes

In this paper we investigate the main linguistic phenomena that can make texts complex and how they could be simplified. We focus on a corpus analysis of simple account texts available on the web for Brazilian Portuguese (BP). This study illustrates the need for text simplification to facilitate accessibility to information by poor readers and by people with cognitive disabilities. It also highlights features of simplification for BP, which may differ from other languages. Moreover, we propose simplification strategies and a Simplification Annotation Editor. This study consists of the first step towards building BP text simplification systems. One of the scenarios in which these systems could be used is that of reading electronic texts produced, e.g., by the Brazilian government or by news agencies.


processing of the portuguese language | 2010

Challenging choices for text simplification

Caroline Gasperin; Erick Galani Maziero; Sandra Maria Aluísio

In this paper we discuss particular choices we made during the development of a rule-based syntactic text simplification system. Such choices concern 1) how to deal with adverbial phrases in order to simplify sentences, and 2) the order in which to apply our set of simplification rules. Adverbial phrases have not been considered by previous work on text simplification, but have a considerable impact on the complexity of a sentence. Considering our whole set of simplification rules, we discuss and compare two different orders in which to apply them: empirical and hierarchical.


Information Processing and Management | 2014

Revisiting Cross-document Structure Theory for multi-document discourse parsing

Erick Galani Maziero; Maria Lucía del Rosario Castro Jorge; Thiago Alexandre Salgueiro Pardo

Multi-document discourse parsing aims to automatically identify the relations among textual spans from different texts on the same topic. Recently, with the growing amount of information and the emergence of new technologies that deal with many sources of information, more precise and efficient parsing techniques are required. The most relevant theory to multi-document relationship, Cross-document Structure Theory (CST), has been used for parsing purposes before, though the results had not been satisfactory. CST has received many critics because of its subjectivity, which may lead to low annotation agreement and, consequently, to poor parsing performance. In this work, we propose a refinement of the original CST, which consists in (i) formalizing the relationship definitions, (ii) pruning and combining some relations based on their meaning, and (iii) organizing the relations in a hierarchical structure. The hypothesis for this refinement is that it will lead to better agreement in the annotation and consequently to better parsing results. For this aim, it was built an annotated corpus according to this refinement and it was observed an improvement in the annotation agreement. Based on this corpus, a parser was developed using machine learning techniques and hand-crafted rules. Specifically, hierarchical techniques were used to capture the hierarchical organization of the relations according to the proposed refinement of CST. These two approaches were used to identify the relations among texts spans and to generate multi-document annotation structure. Results outperformed other CST parsers, showing the adequacy of the proposed refinement in the theory.


brazilian conference on intelligent systems | 2015

Adaptation of Discourse Parsing Models for the Portuguese Language

Erick Galani Maziero; Graeme Hirst; Thiago Alexandre Salgueiro Pardo

Discourse parsing in Portuguese has two critical limitations. The first is that the task has been explored using only symbolic approaches, i.e., Using manually extracted lexical patterns. The second is related to the domain of the lexical patterns, which were extracted through the analysis of a corpus of academic texts, generating many domain-specific patterns. For English, many approaches have been explored using machine learning with features based on a prominent lexicon-syntax notion of dominance sets. In this paper, two works were adapted to Portuguese, improving the results, outperforming the baselines and previous works for Portuguese, considering the task of rhetorical relation identification.


Archive | 2011

CSTNews - A Discourse-Annotated Corpus for Single and Multi-Document Summarization of News Texts in Brazilian Portuguese

Paula Christina Figueira Cardoso; Erick Galani Maziero; Maria Lucía; R. Castro Jorge; Ariani Di Felippo; Lucia Helena Machado Rino; Maria das Graças; Volpe Nunes; Thiago Alexandre Salgueiro Pardo; Rodovia Washington Luís


natural language processing and cognitive science | 2010

Identifying Multidocument Relations

Erick Galani Maziero; Maria Lucía del Rosario Castro Jorge; Thiago Alexandre Salgueiro Pardo


Archive | 2011

DiZer 2.0 - An Adaptable On-line Discourse Parser

Erick Galani Maziero; Thiago Alexandre; Salgueiro Pardo; Iria da Cunha; Juan-Manuel Torres-Moreno; Eric SanJuan

Collaboration


Dive into the Erick Galani Maziero's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar

Ariani Di Felippo

Federal University of São Carlos

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Jackson Wilke da Cruz Souza

Federal University of São Carlos

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Lucia Specia

University of Sheffield

View shared research outputs
Researchain Logo
Decentralizing Knowledge