I am a second year PhD student at the University of Amsterdam. I am supervised by Prof. Maarten de Rijke and Dr. 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 it here.

You can find my CV here.

• I will be joining Microsoft Research in Redmond for an internship in the summer of 2019.


• You can now read our paper based on my master thesis at Blendle: Faithfully Explaining Rankings in A News Recommender System.


• At the 1st of January I have started my PhD at the University of Amsterdam, supervised by Prof. Maarten de Rijke and Dr. Zeynep Akata. I will be working on Multimodal Machine Learning, in particular Multimodal Summarization.


• I successfully defended my master thesis on Explaining Rankings and graduated from the master Artificial Intelligence at the University of Amsterdam (Cum Laude). You can find my thesis here.


• Our paper on explaining news article recommendations was accepted at the FATREC workshop at RecSys 2017. You can find the paper here.

• 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:

• 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 904, Room C3.241, 1098 XH Amsterdam, The Netherlands

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