Gustav Murawski


NLATool: an Application for Enhanced Deep Text Understanding
Markus Gärtner | Sven Mayer | Valentin Schwind | Eric Hämmerle | Emine Turcan | Florin Rheinwald | Gustav Murawski | Lars Lischke | Jonas Kuhn
Proceedings of the 27th International Conference on Computational Linguistics: System Demonstrations

Today, we see an ever growing number of tools supporting text annotation. Each of these tools is optimized for specific use-cases such as named entity recognition. However, we see large growing knowledge bases such as Wikipedia or the Google Knowledge Graph. In this paper, we introduce NLATool, a web application developed using a human-centered design process. The application combines supporting text annotation and enriching the text with additional information from a number of sources directly within the application. The tool assists users to efficiently recognize named entities, annotate text, and automatically provide users additional information while solving deep text understanding tasks.