About

Hi! My name is Emma Gerritse, I am currently a lecturer at the AI Bachelor’s at the Radboud Universiteit Nijmegen, and I was previously a Ph.D. student at the Data Science Radboud University Nijmegen.

I have a Bachelor’s degree in both Mathematics and Computer Science, and a Master’s degree in Data Science. My topic of research is the usage of Graph Embeddings in Information retrieval. I am interested in how we can use graph embeddings in the most optimal way to benefit users and the unintended effects they might have.

Publications

Entity-aware Transformers for Entity Search (paper) (GitHub) (Presented at SIGIR 2022)

Bias in Conversational Search: The Double-Edged Sword of the Personalized Knowledge Graph (paper) (Presented at ICTIR 2020)

Effect of Debiasing on Information Retrieval (paper) (Presented at the BIAS2020 workshop during ECIR 2020)

Graph-Embedding Empowered Entity Retrieval (paper) (GitHub) (Presented at ECIR 2020)

Impact of Debiasing Word Embeddings on Information Retrieval (paper) (poster) (FDIA 2019; won best poster award)

Curriculum Vitae

My CV is available here.

Contact

• E-mail: firstname lastname AT outlook DOT com

• LinkedIn

• Twitter

Links

For links to my supervisors and co-Ph.D. students, check out https://informagus.nl/.