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        <title>Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform</title>
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    <abstract>Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains. It disambiguates mentions, introduces cross-document coreferences, and the resources contribute extra information, e.g. taxonomic relations. Such tasks benefit from text annotation tools that integrate a search which covers the text, the annotations, as well as the knowledge resource. However, to the best of our knowledge, no current tools integrate knowledge-supported search as well as entity linking support. We address this gap by introducing knowledge-supported search functionality into the INCEpTION text annotation platform. In our approach, cross-document references are created by linking entity mentions to a knowledge base in the form of a structured hierarchical vocabulary. The resulting annotations are then indexed to enable fast and yet complex queries taking into account the text, the annotations, and the vocabulary structure.</abstract>
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    <identifier type="doi">10.18653/v1/D18-2022</identifier>
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%0 Conference Proceedings
%T Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform
%A Boullosa, Beto
%A Eckart de Castilho, Richard
%A Kumar, Naveen
%A Klie, Jan-Christoph
%A Gurevych, Iryna
%S Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
%D 2018
%8 nov
%I Association for Computational Linguistics
%C Brussels, Belgium
%F boullosa-etal-2018-integrating
%X Annotating entity mentions and linking them to a knowledge resource are essential tasks in many domains. It disambiguates mentions, introduces cross-document coreferences, and the resources contribute extra information, e.g. taxonomic relations. Such tasks benefit from text annotation tools that integrate a search which covers the text, the annotations, as well as the knowledge resource. However, to the best of our knowledge, no current tools integrate knowledge-supported search as well as entity linking support. We address this gap by introducing knowledge-supported search functionality into the INCEpTION text annotation platform. In our approach, cross-document references are created by linking entity mentions to a knowledge base in the form of a structured hierarchical vocabulary. The resulting annotations are then indexed to enable fast and yet complex queries taking into account the text, the annotations, and the vocabulary structure.
%R 10.18653/v1/D18-2022
%U https://aclanthology.org/D18-2022
%U https://doi.org/10.18653/v1/D18-2022
%P 127-132

Markdown (Informal)

[Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform](https://aclanthology.org/D18-2022) (Boullosa et al., EMNLP 2018)

• Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform (Boullosa et al., EMNLP 2018)

ACL

• Beto Boullosa, Richard Eckart de Castilho, Naveen Kumar, Jan-Christoph Klie, and Iryna Gurevych. 2018. Integrating Knowledge-Supported Search into the INCEpTION Annotation Platform. In Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 127–132, Brussels, Belgium. Association for Computational Linguistics.