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        <namePart type="given">Christina</namePart>
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    <abstract>Today’s widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e.g, sentences running over several lines in a document. They also lack systematic support for hierarchically structured labels, i.e., one label being conceptually more general than another (e.g., anamnesis in relation to family anamnesis). Moreover, as a more fundamental shortcoming of today’s tools, they provide no continuous quality con trol mechanisms for the annotation process, an essential feature to intrinsically support iterative cycles in the development of annotation guidelines. We alleviated these problems by developing WAT-SL 2.0, an open-source web-based annotation tool for long-segment labeling, hierarchically structured label sets and built-ins for quality control.</abstract>
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    <identifier type="doi">10.18653/v1/W19-4025</identifier>
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%0 Conference Proceedings
%T Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0
%A Lohr, Christina
%A Kiesel, Johannes
%A Luther, Stephanie
%A Hellrich, Johannes
%A Kolditz, Tobias
%A Stein, Benno
%A Hahn, Udo
%Y Friedrich, Annemarie
%Y Zeyrek, Deniz
%Y Hoek, Jet
%S Proceedings of the 13th Linguistic Annotation Workshop
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F lohr-etal-2019-continuous
%X Today’s widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e.g, sentences running over several lines in a document. They also lack systematic support for hierarchically structured labels, i.e., one label being conceptually more general than another (e.g., anamnesis in relation to family anamnesis). Moreover, as a more fundamental shortcoming of today’s tools, they provide no continuous quality con trol mechanisms for the annotation process, an essential feature to intrinsically support iterative cycles in the development of annotation guidelines. We alleviated these problems by developing WAT-SL 2.0, an open-source web-based annotation tool for long-segment labeling, hierarchically structured label sets and built-ins for quality control.
%R 10.18653/v1/W19-4025
%U https://aclanthology.org/W19-4025
%U https://doi.org/10.18653/v1/W19-4025
%P 215-219

Markdown (Informal)

[Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0](https://aclanthology.org/W19-4025) (Lohr et al., LAW 2019)

• Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0 (Lohr et al., LAW 2019)

ACL

• Christina Lohr, Johannes Kiesel, Stephanie Luther, Johannes Hellrich, Tobias Kolditz, Benno Stein, and Udo Hahn. 2019. Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0. In Proceedings of the 13th Linguistic Annotation Workshop, pages 215–219, Florence, Italy. Association for Computational Linguistics.