research-article

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

Authors:

Willian M. Watanabe,

Arnaldo Candido, Jr.,

Marcelo A. Amâncio,

Matheus de Oliveira,

Thiago A. S. Pardo,

Renata P. M. Fortes,

Sandra M. AluísioAuthors Info & Claims

W4A '10: Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A)

Article No.: 8, Pages 1 - 9

https://doi.org/10.1145/1805986.1805998

Published: 26 April 2010 Publication History

Abstract

In this paper we describe a web content adaptation tool for assisting low-literacy readers to access online information. The "Educational FACILITA" tool provides innovative features and the design of more intuitive interaction models. Especially, we propose an interaction model and web application that explore the Natural Language Processing tasks of lexical elaboration and named entity labeling for improving web accessibility.

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Index Terms

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cover image ACM Other conferences

W4A '10: Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A)

April 2010

223 pages

ISBN:9781450300452

DOI:10.1145/1805986

General Chairs:
Chieko Asakawa
IBM Research, Japan
,
Hironobu Takagi
IBM Research, Japan
,
Program Chairs:
Leo Ferres
Universidad de Concepcion, Chile
,
Cynthia Shelly
Microsoft

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 April 2010

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April 26 - 27, 2010

North Carolina, Raleigh

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W4A '10 Paper Acceptance Rate 10 of 32 submissions, 31%;

Overall Acceptance Rate 171 of 371 submissions, 46%

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Heuer HGlassman E(2023)Accessible Text Tools for People with Cognitive Impairments and Non-Native Readers: Challenges and OpportunitiesProceedings of Mensch und Computer 202310.1145/3603555.3603569(250-266)Online publication date: 3-Sep-2023
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Ferretti SMirri SPrandi CSalomoni P(2017)On personalizing Web content through reinforcement learningUniversal Access in the Information Society10.1007/s10209-016-0463-216:2(395-410)Online publication date: 1-Jun-2017
https://dl.acm.org/doi/10.1007/s10209-016-0463-2
Ferretti SMirri SPrandi CSalomoni P(2016)Automatic web content personalization through reinforcement learningJournal of Systems and Software10.1016/j.jss.2016.02.008121:C(157-169)Online publication date: 1-Nov-2016
https://dl.acm.org/doi/10.1016/j.jss.2016.02.008
Ribeiro BModesto DFerreira S(2015)Using mediation dialogs to improve navigation of low literate users on the webProceedings of the 14th Brazilian Symposium on Human Factors in Computing Systems10.1145/3148456.3148463(1-10)Online publication date: 3-Nov-2015
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Munteanu CMolyneaux HMaitland JMcdonald DLeung RFournier HLumsden J(2014)Hidden in plain sightPersonal and Ubiquitous Computing10.1007/s00779-013-0748-x18:6(1455-1469)Online publication date: 1-Aug-2014
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Munteanu CMolyneaux HMcDonald DLumsden JLeung RFournier HMaitland JBylund MJuhlin OFernaeus Y(2011)"Showing off" your mobile deviceProceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services10.1145/2037373.2037390(95-104)Online publication date: 30-Aug-2011
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