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arXiv · 2109.02050

Semi-Automated Labeling of Requirement Datasets for Relation Extraction

Jeremias Bohn·Jannik Fischbach·Martin Schmitt·Hinrich Schütze·Andreas Vogelsang
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Abstract

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.

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Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, Andreas Vogelsang. 2021-09-05. Semi-Automated Labeling of Requirement Datasets for Relation Extraction. https://arxiv.org/abs/2109.02050

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