A project exploring metadata uplift and quality through automation led by @supdey and @spuddybike. Funded by @ESRC and @DIRAC_HPC with support from @CLOSER_UK

London
Joined April 2021
metadata-automation retweeted
Congratulations to my PhD student Zeqiang Wang & @yuqiw_ for their work on #longitudinal semantic shifts getting accepted @emnlpmeeting Findings. Co-supervised w/ WeiWang, @nishanthsastry & @spuddybike @CLOSER_UK. @MetadataUplift
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Pleased to be in Manchester for @NCRMUK #MethodsCon where Jon Johnson @spuddybike is presenting our @ESRC-funded #FutureDataServices MetacurateML @MetadataUplift project. @CLOSER_UK @ScotCen
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metadata-automation retweeted
🆕Standardised scales (SS) added to Discovery, our research tool for longitudinal population studies! This update will make it easier to determine if questions belong to a SS & identify where they are used across our studies & waves of data collection. closer.ac.uk/news-opinion/ne…
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Job Alert! We are looking for a PDRA in #NLP and #ML, as part of our @ESRC-funded #FutureDataServices grant, at @ComputingSurrey. The successful candidates will collaborate with @CLOSER_UK @ucl, @UKDataService and @ScotCen. Apply by: 22 July 2024 jobs.surrey.ac.uk/031024
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metadata-automation retweeted
Excited to kick-off our #METACURATEML project, with @CLOSER_UK @ucl, @UKDataService & @ScotCen to generate #ML-driven #metadata and #data solutions which are #FAIR ready, using #GrowingupinScotland study as a pilot dataset. Grateful for funding from @ESRC #FutureDataService.
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Our #NLProc paper "Privacy Pitfalls of Online Service Terms and Conditions: a Hybrid Approach for Classification and Summarization" w/ Emilia Lukose @ComputingSurrey and @spuddybike @CLOSER_UK, UCL has been accepted @NllpWorkshop @emnlpmeeting! @MetadataUplift 🧵
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Our final report of the @DiRAC_HPC funded Activity on 'Understanding the multiple dimensions of prediction of concepts in social and biomedical science questionnaires', jointly led by @spuddybike, is now out in dirac.ac.uk/wp-content/uploa… @MetadataUplift
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Encouraging feedback from the DDI-L community on our @ESRC funded ML pipeline approach for data extraction from longitudinal questionnaires. See slides from the talk here: doi.org/10.5281/zenodo.57429… #eddi2021 @MetadataUplift
#EDDI2021 Coming up next @supdey on builiding a Machine Learning pipeline with DDI Lifecycle funded by @ESRC
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I'm really glad folks are looking into this and grateful to @strwbilly for this reporting highlighting the negative impacts of #AIhype technologyreview.com/2021/07…
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