Many short-term actions are needed to help us through the current disruptions. As academics, if we can help to support processes that are important to keep society running, we should all step in. Immediately. But we should also look beyond today and continue to set and pursue long-term goals. Like many of us, I am…
Author: mdr
Schiet nou toch eens op. De tijd dringt
Vandaag presenteerde de EU haar “white paper” over AI in Europa. Samenvatting van mijn commentaar: Zet veel duidelijker en veel ambitieuzer in op AI-talent — daar staat of valt alles mee. Waarom geeft de EU de hoop over consumentendata op? Is consumentendata nou niet precies waar je het vertrouwen wint of verliest? Beleidsmakers zijn voor…
Aan de slag!
Morgen, 8 oktober, presenteert VNO-NCW een `Nationale AI Coalitie’. Het Nederlandse bedrijfsleven steekt de komende zeven jaar ruim €1 mrd in kunstmatige intelligentie (AI). Van de overheid wordt ook een flinke bijdrage gevraagd. Het Financieele Dagblad besteedt aandacht aan de verwachte aankondigingen van deze week. Genoeg gepraat. Genoeg gepolderd. Aan de slag.
CIKM 2019 papers online
The papers that my team and I will be presenting at CIKM 2019 are online now:
IJCAI 2019 papers online
Cascading non-stationary bandits: Online learning to rank in the non-stationary cascade model by Chang Li and Maarten de Rijke is online now at this location. In the paper, we argue that non-stationarity appears in many online applications such as web search and advertising. We study the online learning to rank problem in a non-stationary environment where user…
SIGIR 2019 papers online
Here’s our harvest for SIGIR 2019, which is about to get started in less than 24 hours: Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, and Maarten de Rijke. Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?. In FACTS-IR: SIGIR 2019 Workshop on Fairness, Accountability, Confidentiality, Transparency and Safety in Information…
UAI 2019 paper on safe online learning to re-rank via implicit click feedback online
BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback by Chang Li, Branislav Kveton, Tor Lattimore, Ilya Markov, Maarten de Rijke, Csaba Szepesvari, and Masrour Zoghi is online now at this location. In the paper we study the problem of safe on-line learning to re-rank, where user feedback is used to improve the quality of…
Using process mining for understanding the structure of interaction processes
Svitlana Vakulenko explains how we have recently used process mining techniques to understand the structure of interaction processes, which will in turn help us to improve information-seeking dialogue systems. We extract a new model of information-seeking dialogues, QRFA, for Query, Request, Feedback, Answer. The QRFA model better reflects conversation flows observed in real information-seeking conversations…
Investeer in kennisbasis AI of word een toeschouwer
In een opiniestuk voor NRC Handelsblad en NRC Next beargumenteer ik dat artificiële intelligentie ons leven hoe dan ook zal veranderen en dat Nederland voor de keuze staat om vol mee te doen in de ontwikkeling van AI en het spel mee te bepalen, of om de bank te blijven zitten. Wie niet actief meedoet,…
Learning to answer questions by taking broader contexts into account
Mostafa Dehghani has posted an explanation of our recent work on TraCRNet (“tracker net”) to learn how to answer questions from multiple, possible long documents. TraCRNet uses the universal transformer and is able to go beyond understanding a set of input documents separately and combine their information in multiple steps. TraCRNet is highly parallellizable and…