Natural Language Processing
Parsing and Composition
Opinion and Data Mining
Doctoral student in Computational Linguistics
Bachelor in International Studies in Computational Linguistics (ISCL)
Teacher's degree in German, English and Political Science
Patricia Fischer, Sebastian Pütz, and Daniël de Kok (2019). Association Metrics in Neural Transition-Based Dependency Parsing, in: Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019), p.181–189.
Daniël de Kok, Patricia Fischer, Corina Dima, and Erhard Hinrichs (2018). Distributional Regularities of Verbs and Verbal Adjectives: Treebank Evidence and Broader Implications, in: Proceedings of the Sixteenth International Workshop on Treebanks and Linguistic Theories (TLT16), p.1-9.
At the Department of General and Computational Linguistics, I worked for GermaNet, a lexical-semantic word net. My current position is in the A3 project of the SFB 833. I use Rust and python to improve parser performance on ambiguity solving tasks in German and English.
During my 5-month internship at IBM, I used an in-house version of SQL to query and assemble twitter data for author profiling.
My task for Daimler was to deisgn specifications and quality criteria for their speech dialogue system.
At scireum, I worked on improving the search engine for the sellsite e-commerce platform by adding linguistic features. Programming was done in Java but also involved html to manipulate the website frontend.