Macquarie University at BioASQ 5b

Query-based summarisation techniques for selecting the ideal answers

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

Abstract

Macquarie University’s contribution to the BioASQ challenge (Task 5b Phase B) focused on the use of query-based extractive summarisation techniques for the generation of the ideal answers. Four runs were submitted, with approaches ranging from a trivial system that selected the first n snippets, to the use of deep learning approaches under a regression framework. Our experiments and the ROUGE results of the five test batches of BioASQ indicate surprisingly good results for the trivial approach. Overall, most of our runs on the first three test batches achieved the best ROUGE-SU4 results in the challenge.
Original languageEnglish
Title of host publicationBioNLP 2017
Subtitle of host publicationSIGBioMed Workshop on Biomedical Natural Language Processing
PublisherAssociation for Computational Linguistics
Pages67-75
Number of pages9
ISBN (Electronic)9781945626593
DOIs
Publication statusPublished - 2017
Event16th SIGBioMed Workshop on Biomedical Natural Language Processing - Vancouver, Canada
Duration: 4 Aug 20174 Aug 2017

Conference

Conference16th SIGBioMed Workshop on Biomedical Natural Language Processing
CountryCanada
CityVancouver
Period4/08/174/08/17

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