Creating an automatic question answering text skimming system for non-visual readers

Authors:
Debra Yarrington;Kathleen McCoy
Affiliations:
University of Delaware, Newark, DE, USA;University of Delaware, Newark, DE, USA
Venue:
Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility
Year:
2008

Citing 1
Cited 1

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Approaches to locating areas of interest related to questions in a document for non-visual readers

Proceedings of the 11th international ACM SIGACCESS conference on Computers and accessibility

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Abstract

This poster describes an approach to creating a system that will allow blind, low vision, dyslexic, and other non-visual readers to skim through documents for answers to questions. The ultimate goal is a system that gives the users information similar to that which a sighted individual obtains while skimming through a document for an answer to a question. To create this system, we will be incorporating open domain question answering (QA) techniques, word clustering techniques, and data gathered from visual readers skimming through documents. Ultimately the system will take a question and a text document and return a list of rated links that suggest where the answers within a document are likely to be located. This poster focuses on results of data gathered from individuals skimming through documents.