Author Archives: Lora Aroyo

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About Lora Aroyo

I am Research Scientist at Google working in the area of Responsible AI specifically focussing on responsible data for AI. Previously, I was a full professor in Computer Science, head of the Web and Media Group, Department of Computer Science, VU University of Amsterdam, The Netherlands, where I was scientific coordinator of the EU Integrated Project: NoTube: Integration of Web and TV Data with the Help of Semantics, http://notube.tv Go to my web page for more details: http://lora-aroyo.org

Chris Welty and I have presented our idea (at WebSci2013) on how to harness the disagreement between crowd text annotators in order to build gold standard data, which is closer to how people interpret relations between medical terms in text. … Continue reading

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My selection of WebSci2013

Here you can find some of the posters at WebSci2013. You can also read a nice trip reports on the WebSci2013 and CHI2013 conferences by my colleagues Paul Groth and Victor de Boer.

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Agora Digital Hermeneutics @ WebSci2013

At the WebSci2013 I presented our most recent work on how to use events to provide meaning to cultural collection objects. We designed an evaluation framework for online access to cultural heritage, which enables the assessment of online cultural heritage … Continue reading

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IBM Tech Report: Harnessing Disagreement in Crowdsourcing a Relation Extraction Gold Standard

The initial results from our October 2012 experiments got accepted as IBM technical report. We have presented updated results at the Web Science 2013 Conference, which cover also experiments until March 2013. Soon we will be publishing a new sets … Continue reading

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IBM Faculty Award 2012

Lora Aroyo won a 2012 IBM Faculty Award, which was handed out the 10th of December 2012 by Gerard Smit, CTO IBM Benelux. The Faculty Awards are presented annually by IBM for extraordinary activities in the field of IT research … Continue reading

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Harnessing Disagreement for Event Semantics @DERiVE2012

Chris Welty and I presented at the Derive2012 workshop, in conjunction with ISWC2012 Conference our paper focussing on how events can be detected & extracted from natural language text, and how those are represented for use on the semantic web. … Continue reading

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