I am Dennis Ulmer, Postdoc in Natural Language Processing and Machine Learning at the ILLC at UvA.

I am currently a postdoctoral researcher working with Ivan Titov. My current research interests include uncertainty estimation methods with application to Natural Language Processing, learning for low-resource languages, compositionality, generalization, and many more!

Before my postdoc, I was a PhD student under Christian Hardmeier at the NLPnorth group @ IT University Copenhagen and Jes Frellsen @ Technical University of Denmark (DTU).

My background also includes an undergraduate degree in Computational Linguistics from the University of Heidelberg and a master's degree in Artificial Intelligence from the University of Amsterdam, where I wrote my thesis under Dieuwke Hupkes and Elia Bruni. On other occasions, I also had the pleasure to work with André Martins at the Instituto Superior Técnico, Seong Joon Oh at Parameter Lab, Elman Mansimov at Amazon Web Services and Giovanni Cinà at Pacmed Labs. Questions or ideas for collaborations? Message me via the options on the left!

🎉 News

🎓 Publications

(* = Equal contribution)

2024

2023

2022

2021

2020

2019

📑 Blog

🏆 Awards

💻 Highlighted Coding Projects

nlp-uncertainty-zoo

Repostory containing model implementations for methods for uncertainty quantification in NLP.

deep-significance

Easy and Better Significance Testing for Deep Neural Networks.

📇⚡ token2index

A lightweight but powerful library for token indexing, fully tested and compatible with PyTorch and Tensorflow.

OOD Detection For Electronic Health Records

Collection of a multitude of methods used for OOD detection on Electronic Health Records.