Listed in reverse chronological order are all relevant academic activities since the start of my PhD position.
Presented ‘Attribute Obfuscation with Gradient Reversal’ at CLIN 28.
Taught the Spring semester of Data Mining for Business and Governance.
Presented ‘Distantly Supervised Prediction of Demographic Information on Social Media’ and tōku at the TiCC PhD Day 2017 and won the Best Demo Award.
Organized ATILA’17 in Tilburg.
Was part of the jury at the Xomnia Datathon against cyberbullying.
Taught Fall semester Data Mining for Business and Governance.
Attended EMNLP 2017 in Copenhagen.
‘Simple Queries as Distant Labels for Detecting Gender on Twitter’ accepted for W-NUT 2017.
Organized informal NLP with Deep Learning summer school at Tilburg University.
Submitted short paper to EMNLP 2017.
Co-reviewed for EACL 2017.
Started supervising Evie Izeboud (in collaboration with 8vance), Thomas Rockx, and Vannesa Berhitoe for their Master theses in Data Science.
Taught Spring semester Social Data Mining.
Built a concept version for the CS&AI group’s webpage.
Attended ATILA 2016.
Moved to the CS&AI group at Tilburg University as part Lecturer, part joint PhD candidate with CLiPS at the University of Antwerp under the supervision of Eric Postma, Grzegorz Chrupała, and Walter Daelemans.
Attended the 2nd Summer School on Integrating Vision & Language: Deep Learning (iV&L).
Gave a LaTeX tutorial for the course Computational Models of Language Understanding.
‘Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource’ accepted for LREC 2016.
Wrote a Python docstring to Markdown convertor (markdoc).
Made Omesa open-source.
Submitted ‘Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource’ to LREC.
Wrote an author profiling module and demo environment for AMiCA (profl).
Organized ATILA 2015 and built its website.
Wrote a Python wrapper for Stanford’s Topic Modelling Toolbox (topbox).
Participated in the Lisbon Machine Learning School (LxMLS).
Accepted the Leo Coolen award at Tilburg University.