I am a PhD student in ILPS, at the University of Amsterdam. I am supervised by prof. Maarten de Rijke and prof. Zeynep Akata. I work on Multimodal Machine Learning, specifically Multimodal Summarization.

In September 2017 I obtained my master's degree in Artificial Intelligence from the University of Amsterdam. The topic and title of my thesis was Explaining Rankings .

You can find my CV here.

• Our full paper "Conversations with Documents. An Exploration of Document-Centered Assistance" has been accepted at CHIIR 2020. I did this work during my internship at MSR, together with Robert Sim, Elnaz Nouri, Adam Fourney, Maarten de Rijke and Ryen White. You can read the paper here.


• I will be organizing SEA (Search Engines Amsterdam) this year. SEA is usually held every last Friday of the month, at Science Park Amsterdam. Usually we have two talks, one industrial, one academic. If you would like to give a talk, please get in touch.


• I will be joining Microsoft Research in Redmond for an internship in the summer of 2019. I will be part of the KTX team (Knowledge, Technologies and Intelligent Experiences). I will work with Robert Sim and Ryen White.


• We started Inclusive AI (IAI), for MSc AI students at the University of Amsterdam. The IAI is an inclusive space for members to get non-academic help from senior peers in the field and connect with like-minded people of a similar background. I am one of the organizers and mentors.

• Maartje ter Hoeve; Robert Sim; Elnaz Nouri; Adam Fourney; Maarten de Rijke; Ryen White. Conversations with Documents. An Exploration of Document-Centered Assistance. In: CHIIR, Vancouver, Canada, 2020.


• Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke. Interpreting Multi-Head Attention in Abstractive Summarization .


• Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke. Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?. In: SIGIR (FACTS-IR), Paris, Fance, 2019.


• Maartje ter Hoeve; Anne Schuth; Daan Odijk; Maarten de Rijke. Faithfully Explaining Rankings in a News Recommender System.


• Maartje ter Hoeve; Mathieu Heruer; Daan Odijk; Anne Schuth; Martijn Spitters; Ron Mulder; Nick van der Wildt; Maarten de Rijke. Do News Consumers Want Explanations for Personalized News Rankings?. In: RecSys (FATREC), Como, Italy, 2017.

Please find a list of selected talks below:

• Automatic Summarization, Lecture Information Retrieval. Amsterdam, Netherlands. March 08, 2019 (Slides).


• Explaining Rankings, Master Thesis Defense. Amsterdam, Netherlands. September 29, 2017 (Slides).


• Do News Consumers Want Explanations for Personalized News Rankings?, RecSys 2017, FATREC workshop, Como, Italy. September 5, 2017 (Slides).


• Kunstmatige intelligentie concreet, Podcast (www.deuitvinders.xyz).

Student Supervision:

• 2020 - Henning Bartsch, MSc Articial Intelligence, UvA, MSc thesis.
• 2019 - David Stap, MSc Artificial Intelligence, UvA, MSc thesis.
• 2019 - Joris Baan, MSc Artificial Intelligence, UvA, MSc thesis.
• 2018 - David Ruhe, MSc Data Science, UvA, MSc thesis, Topic: Adversarial examples for capsule networks.
• 2018 - Dennis Craandijk, MSc Data Science, UvA, MSc thesis, Topic: Automatic unseen event extraction from text.
• 2018 - Mink Rohmer, MSc Data Science, UvA, MSc thesis, Topic: Classifying the severity of written complaints.

• 2018 - Information Retrieval 2, Master A.I.
• 2015 - Logic Programming and Search.
• 2015 - Introduction to A.I.
• 2015 - Academic Skills.
• 2015 - Natural Language Processing.

m [dot] a [dot] terhoeve [at] uva [dot] nl


Science Park 608b, Room 1.07, 1098 XH Amsterdam, The Netherlands

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