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        <title>Semi-Automated Labeling of Requirement Datasets for Relation Extraction</title>
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    <name type="personal">
        <namePart type="given">Jeremias</namePart>
        <namePart type="family">Bohn</namePart>
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        <namePart type="given">Jannik</namePart>
        <namePart type="family">Fischbach</namePart>
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    <name type="personal">
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            <title>Proceedings of the 14th Workshop on Building and Using Comparable Corpora (BUCC 2021)</title>
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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.</abstract>
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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)

• Semi-Automated Labeling of Requirement Datasets for Relation Extraction (Bohn et al., BUCC 2021)

ACL

• Jeremias Bohn, Jannik Fischbach, Martin Schmitt, Hinrich Schütze, and Andreas Vogelsang. 2021. Semi-Automated Labeling of Requirement Datasets for Relation Extraction. In Proceedings of the 14th Workshop on Building and Using Comparable Corpora (BUCC 2021), pages 40–45, Online (Virtual Mode). INCOMA Ltd..