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.
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)
My CV is available here.
For links to my supervisors and co-Ph.D. students, check out https://informagus.nl/.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent