A method for improving the generation of linguistic summaries

Anna Wilbik, Uzay Kaymak, Remco M. Dijkman

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Generation of linguistic summaries that are compact, short and relevant to the user remains an open challenge. In this paper, we propose a novel method for improving the generation of linguistic summaries inspired by the a-priori algorithm and the degree of appropriateness. The method generates all true summaries with related predicates in the summarizer, resulting in a small set of linguistic summaries, whose presentation to the user is compact. We tested our method on three real world data sets. The results indicate that our proposed approach is a good alternative to previous methods suggested for generating linguistic summaries.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Place of PublicationNapels
PublisherIEEE
Pages1-6
DOIs
Publication statusPublished - 24 Aug 2017
Externally publishedYes
Event2017 IEEE International Conference on Fuzzy Systems - Naples, Italy
Duration: 9 Jul 201712 Jul 2017

Conference

Conference2017 IEEE International Conference on Fuzzy Systems
Abbreviated titleFUZZ-IEEE
Country/TerritoryItaly
CityNaples
Period9/07/1712/07/17

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