Summarising Unreliable Data

Stephanie Inglis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Unreliable data is present in datasets, and
is either ignored, acknowledged ad hoc, or
undetected. This paper discusses data
quality issues with a potential framework
in mind to deal with them. Such a framework
should be applied within data-to-text
systems at the generation of text rather
than being an afterthought. This paper
also shows ways to express uncertainty
through language and World Health Organisation
(WHO) corpus studies, and an
experiment which analyses how subjects
approached summarising data with data
quality issues. This work is still ongoing.
Original languageEnglish
Title of host publicationProceedings of the European Natural Language Generation 2015 workshop (ENLG 2015)
PublisherACL Anthology
Pages95-99
Number of pages5
ISBN (Print)978-1-941643-78-5
DOIs
Publication statusPublished - 2015
Event15th European Workshop on Natural Language Generation - Brighton, United Kingdom
Duration: 10 Sep 201511 Sep 2015

Conference

Conference15th European Workshop on Natural Language Generation
CountryUnited Kingdom
CityBrighton
Period10/09/1511/09/15

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