Albin Zehe, M.Sc.

Albin Zehe
Chair of Data Science (Informatik X)
University of Würzburg
Am Hubland
97074 Würzburg
Germany
Email: zehe <at> informatik.uni-wuerzburg.de
Phone: (+49 931) 31 - 83217
Office: Room B004 (Computer Science Building M2)
PGP-Key: (0x5D9619FE)
Fingerprint: 4595 A504 61B7 CF2C 43FA 0479 D761 1688 5D96 19FE
Research Interests
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.
Publications
2019
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EClaiRE: Context Matters! – Comparing Word Embeddings for Relation Classification. K. David, Geihs, K., Lange, M., Stumme, G. (eds.) (2019). 191-204.
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Detection of Scenes in Fiction. (2019).
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Team Xenophilius Lovegood at SemEval-2019 Task 4: Hyperpartisanship Classification using Convolutional Neural Networks. (2019).
2018
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Burrows’ Zeta: Exploring and Evaluating Variants and Parameters. (2018). 274-277.
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A White-Box Model for Detecting Author Nationality by Linguistic Differences in Spanish Novels. (2018).
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ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings. (2018).[ BibTeX ]
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Analysing Direct Speech in German Novels. (2018).
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Burrows Zeta: Varianten und Evaluation. (2018).
2017
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Towards Sentiment Analysis on German Literature. (2017). 387-394.
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Sentiment Analysis on German Novels (2017).[ BibTeX ]
2016
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Analyzing Features for the Detection of Happy Endings in German Novels. (2016).
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Prediction of Happy Endings in German Novels. P. Cellier, Charnois, T., Hotho, A., Matwin, S., Moens, M. -F., Toussaint, Y. (eds.) (2016). 9-16.
Projects
Teaching
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