I am a Ph.D. at the Department of Computer Science, Lund University, Sweden. I am funded by Vetenskapsrådet, the Swedish research council.
My research area is within natural language processing (NLP) and I am currently mainly concerned with large-scale processing using Hadoop and applications of it. My main contributions concern using semantic parsing to automatically create knowledge bases from large amounts of unstructured text. I am also interested in creating the cloud computing frameworks that drive large-scale NLP exploration. Visit our project homepage, semantica.cs.lth.se, for detailed descriptions and demos of our latest research.
I currently teach the following courses at our department:
- EDAN20 - Language Technology
- EDAN60 - Language Technology: Project
- EDA260 - Software Development in Teams
- EDAA20 - Programming and Databases
- EDA025F - Programming Models and Practice for Big Data
Supervised master's theses:
- Marcus Klang, Nedforia: A Tool for Automatic Named Entity Disambiguation, 2013
- Tobias Arrskog and Peter Norlander, Event Extraction for Contextual Point of Interest Databases, 2012
- Richard Stenlander, Big Data Business Rules, 2016