Adapting Web content for low-literacy readers by using lexical elaboration and named entities labeling


Autoria(s): WATANABE, W. M.; CANDIDO JR., A.; AMANCIO, M. A.; OLIVEIRA, M. De; PARDO, T. A. S.; FORTES, R. P. M.; ALUISIO, S. M.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2010

Resumo

This paper presents an approach for assisting low-literacy readers in accessing Web online information. The oEducational FACILITAo tool is a Web content adaptation tool that provides innovative features and follows more intuitive interaction models regarding accessibility concerns. Especially, we propose an interaction model and a Web application that explore the natural language processing tasks of lexical elaboration and named entity labeling for improving Web accessibility. We report on the results obtained from a pilot study on usability analysis carried out with low-literacy users. The preliminary results show that oEducational FACILITAo improves the comprehension of text elements, although the assistance mechanisms might also confuse users when word sense ambiguity is introduced, by gathering, for a complex word, a list of synonyms with multiple meanings. This fact evokes a future solution in which the correct sense for a complex word in a sentence is identified, solving this pervasive characteristic of natural languages. The pilot study also identified that experienced computer users find the tool to be more useful than novice computer users do.

FAPESP

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Microsoft Research

Microsoft Research

Identificador

NEW REVIEW OF HYPERMEDIA AND MULTIMEDIA, v.16, n.3, Special Issue, p.303-327, 2010

1361-4568

http://producao.usp.br/handle/BDPI/28766

10.1080/13614568.2010.542620

http://dx.doi.org/10.1080/13614568.2010.542620

Idioma(s)

eng

Publicador

TAYLOR & FRANCIS LTD

Relação

New Review of Hypermedia and Multimedia

Direitos

restrictedAccess

Copyright TAYLOR & FRANCIS LTD

Palavras-Chave #Web content adaptation #Web accessibility #Natural language processing #Computer Science, Information Systems
Tipo

article

original article

publishedVersion