Jan-Christoph Klie — accepted AI-conference papers

2024

Integrating INCEpTION into larger annotation processes

Richard Eckart De Castilho, Jan-Christoph Klie, Iryna Gurevych

EMNLP 2024system demonstrations

Annotation tools are increasingly only steps in a larger process into which they need to be integrated, for instance by calling out to web services for labeling support or importing documents from external sources. This requires certain capabilities that annotation tools need to support in order to…

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2024

On Efficient and Statistical Quality Estimation for Data Annotation

Jan-Christoph Klie, Juan Haladjian, Marc Kirchner, Rahul Nair

ACL 2024long

Annotated datasets are an essential ingredient to train, evaluate, compare and productionalize supervised machine learning models. It is therefore imperative that annotations are of high quality. For their creation, good quality management and thereby reliable quality estimates are needed. Then, if…

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