Biography

Hi! I am Jan, a Ph.D. student at the Ubiquitous Knowledge Processing (UKP) Lab, Technical University of Darmstadt, Germany. My research focuses on data annotation, especially improving annotation efficiency for NLP. As part of the INCEpTION project, we build a batteries-included platform for text annotation. I also am an experienced software engineer, especially in backend development as well as a system architect and administrator. In my free time, I love to learn Mandarin.

In addition to my current research, I am also available as an AI consultant. I have a strong background in data annotation including best practices, increasing annotation efficiency and quality, software backend engineering as well as building AI IT infrastructure. If that sounds interesting, then I would be happy hearing from you!

Interests

Interactive Machine Learning
Reinforcement Learning
Online Learning
Information Retrieval
Annotation
Chinese

Education

PhD in Computer Science, 2018 - now
TU Darmstadt
MSc in Computer Science, 2017
TU Darmstadt
BSc in Computer Science, 2014
DHBW Mannheim

Recent Publications

Jan-Christoph Klie, Bonnie Webber, Iryna Gurevych (2022). Annotation Error Detection: Analyzing the Past and Present for a More Coherent Future. Computational Linguistics.

Cite DOI URL

Ji-Ung Lee, Jan-Christoph Klie, Iryna Gurevych (2022). Annotation Curricula to Implicitly Train Non-Expert Annotators. Computational Linguistics.

Cite DOI URL

Jan-Christoph Klie, Richard Eckart de Castilho, Iryna Gurevych (2020). From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

PDF Cite DOI URL

Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman (2019). A Multi-Platform Annotation Ecosystem for Domain Adaptation. Proceedings of the 13th Linguistic Annotation Workshop.

PDF Cite DOI URL

Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, Iryna Gurevych (2018). Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations.

PDF Cite DOI URL

See all publications