Chair of Data Science (Informatik X)
University of Würzburg
Email: zehe <at> informatik.uni-wuerzburg.de
Phone: (+49 931) 31 - 83217
Office: Room B004 (Computer Science Building M2)
Fingerprint: 4595 A504 61B7 CF2C 43FA 0479 D761 1688 5D96 19FE
My main interests are in the areas of Text Mining, Neural Networks and Classification in general.
I wrote my Master's Thesis on Sentiment Analysis and work mostly in the domain of literature, trying to find new ways of analysing novels using computers.
In my spare time, I like to read books (mostly everything written by Tolkien ;)1) and watch TV shows.
EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification. K. David, Geihs, K., Lange, M., Stumme, G. (eds.) (2019). 191-204.
Detection of Scenes in Fiction. (2019).
Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. (2019).
Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. (2018). 274-277.
A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. (2018).
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. (2018).
Analysing Direct Speech in German Novels. (2018).
Burrows Zeta: Varianten und Evaluation. (2018).
Towards Sentiment Analysis on German Literature. (2017). 387-394.
Sentiment Analysis on German Novels (2017).
Analyzing Features for the Detection of Happy Endings in German Novels. (2016).
Prediction of Happy Endings in German Novels. P. Cellier, Charnois, T., Hotho, A., Matwin, S., Moens, M. -F., Toussaint, Y. (eds.) (2016). 9-16.
Summer Term 2019
- Machine Learning for Natural Language Processing
- Praktikum: Natural Language Processing
Winter Term 2018/19
Summer Term 2018
Winter Term 2017/2018
Summer Term 2017