%0 Conference Proceedings %T Semi-Automated Labeling of Requirement Datasets for Relation Extraction %A Bohn, Jeremias %A Fischbach, Jannik %A Schmitt, Martin %A Schütze, Hinrich %A Vogelsang, Andreas %Y Rapp, Reinhard %Y Sharoff, Serge %Y Zweigenbaum, Pierre %S Proceedings of the 14th Workshop on Building and Using Comparable Corpora (BUCC 2021) %D 2021 %8 September %I INCOMA Ltd. %C Online (Virtual Mode) %F bohn-etal-2021-semi %X Creating datasets manually by human annotators is a laborious task that can lead to biased and inhomogeneous labels. We propose a flexible, semi-automatic framework for labeling data for relation extraction. Furthermore, we provide a dataset of preprocessed sentences from the requirements engineering domain, including a set of automatically created as well as hand-crafted labels. In our case study, we compare the human and automatic labels and show that there is a substantial overlap between both annotations. %U https://aclanthology.org/2021.bucc-1.6 %P 40-45