Philip Hausner

Phone: +49 (0) 6221 / 54 - 14353
Fax: +49 (0) 6221 / 54 - 14351
Office: INF 205, room 1/312 (first floor)
Email: hausner(at)informatik.uni-heidelberg(dot)de
Office hours: By appointment

News

2020-02-28: Our paper, Time-Centric Exploration of Court Documents, was accepted for presentation at the International Workshop on Narrative Extraction from Texts held in conjunction with the 42nd European Conference on Information Retrieval (Text2Story@ECIR'20).


About

I studied Applied Computer Science with a minor in Computational Linguistics at Heidelberg University and received my Master's degree in March 2020. During my thesis I developed a time-centric graph model that can be utilized for exploratory tasks. Since April 2020, I work as a researcher and PhD student at the Institute of Computer Science in the Database Systems Research group of Prof. Dr. Michael Gertz.


A focus of my research is the detection and classification of Dark Patterns, malicious design patterns on websites that aim to influence user decisions in ways that benefit the owner of the website.



Research Interests

  •     Dark Patterns
  •     Information Retrieval / Information Extraction
  •     Data Mining / Text Mining
  •     Natural Language Processing
  •     Temporal information

Publications

  • Philip Hausner, Dennis Aumiller, and Michael Gertz.
    Time-centric Exploration of Court Documents.
    In: Ricardo Campos, Alípio Mário Jorge, Adam Jatowt, and Sumit Bhatia (eds.), Proceedings of Text2Story - Third Workshop on Narrative Extraction From Texts co-located with 42nd European Conference on Information Retrieval, Text2Story@ECIR 2020, Lisbon, Portugal, April 14th, 2020 [online only] 2593. 2020, 31–37
    [online] [bibtex]
  • Philipp Jung, Philip Hausner, Lukas Pilz, Julien Stern, Christian Euler, Michael Riemer, and Filip Sadlo.
    Tumble-Vortex Core Line Extraction.
    In: Proceedings of SIBGRAPI WVIS. 2017
    [online] [bibtex]