@inproceedings{bohn-etal-2021-semi,
title = "Semi-Automated Labeling of Requirement Datasets for Relation Extraction",
author = {Bohn, Jeremias and
Fischbach, Jannik and
Schmitt, Martin and
Sch{\"u}tze, Hinrich and
Vogelsang, Andreas},
booktitle = "Proceedings of the 14th Workshop on Building and Using Comparable Corpora (BUCC 2021)",
month = sep,
year = "2021",
address = "Online (Virtual Mode)",
publisher = "INCOMA Ltd.",
url = "https://aclanthology.org/2021.bucc-1.6",
pages = "40--45",
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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%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
%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
Markdown (Informal)
[Semi-Automated Labeling of Requirement Datasets for Relation Extraction](https://aclanthology.org/2021.bucc-1.6) (Bohn et al., BUCC 2021)
ACL