I am a PhD candidate in ILPS, at the University of Amsterdam. I am supervised by Prof. Maarten de Rijke and Dr. Julia Kiseleva. My main interests are Natural Language Processing and Information Retrieval. I am especially interested in how we can learn from humans / human cognition to improve our models.

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 .

I did my bachelor's degree in Linguistics, at the University of Amsterdam and partially at the University of Edinburgh. I am still very interested in how we can obtain human-level language understanding in our models.

You can find my CV here.

• Our challenge "IGLU: Interactive Grounded Language Understanding in a Collaborative Environment" has been accepted at NeurIPS 2021! Follow our Twitter account or our website for all updates!


• I was a guest in the latest Data Skeptic podcast! We talked about automatic summarization, our work in that area and how a background in Linguistics can help you in NLP! You can find the episode in all your favourite podcast apps, for example 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.

2021

• Ana Lucic; Maartje ter Hoeve; Gabriele Tolomei; Maarten de Rijke; Fabrizio Silvestri. CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks.

2020

• Maartje ter Hoeve; Julia Kiseleva; Maarten de Rijke. What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization.


• 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.


• David Stap; Maurits Bleeker; Sarah Ibrahimi; Maartje ter Hoeve. Conditional Image Generation and Manipulation for User-Specified Content. In: CVPR (AICCW), Seattle, United States, 2020.

2019

• 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.

2018

• 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, Data Skeptic Podcast.


• Conversations with Documents. An Exploration of Document-Centered Assistance. CHIIR 2020, Virtual Event. August 13, 2020. (Recording).


• Conversations with Documents. An Exploration of Document-Centered Assistance. ICAI Meetup, Amsterdam, Netherlands. February 21, 2020.


• 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 - Michael Neely, MSc Articial Intelligence, UvA, MSc thesis, Topic: Multi-hop question answering
• 2020 - Justine Winkler, MSc Articial Intelligence, Radboud University, MSc thesis, Topic: Automatic Summarization
• 2020 - Henning Bartsch, MSc Articial Intelligence, UvA, MSc thesis, Topic: Improving user representations for news recommendation
• 2019 - David Stap, MSc Artificial Intelligence, UvA, MSc thesis, Topic: Conditional image generation and manipulation
• 2019 - Joris Baan, MSc Artificial Intelligence, UvA, MSc thesis, Topic: Transparency in abstractive summarization
• 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.

• 2021 - Fairness, Accountability and Transparency (Guest Lecture), Master AI.
• 2018 - Information Retrieval 2, Master AI.
• 2015 - Logic Programming and Search, Bachelor AI.
• 2015 - Introduction to AI, Bachelor AI.
• 2015 - Academic Skills, Bachelor AI.
• 2015 - Natural Language Processing, Bachelor AI.

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


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

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