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        <title>A Study of the Importance of External Knowledge in the Named Entity Recognition Task</title>
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        <namePart type="given">Dominic</namePart>
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        <namePart type="family">Dembelova</namePart>
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        <namePart type="given">Luciano</namePart>
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        <namePart type="given">Johannes</namePart>
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    <name type="personal">
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        <name type="personal">
            <namePart type="given">Yusuke</namePart>
            <namePart type="family">Miyao</namePart>
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    <abstract>In this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER). We present a novel modular framework that divides the knowledge into four categories according to the depth of knowledge they convey. Each category consists of a set of features automatically generated from different information sources, such as a knowledge-base, a list of names, or document-specific semantic annotations. Further, we show the effects on performance when incrementally adding deeper knowledge and discuss effectiveness/efficiency trade-offs.</abstract>
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    <identifier type="doi">10.18653/v1/P18-2039</identifier>
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%0 Conference Proceedings
%T A Study of the Importance of External Knowledge in the Named Entity Recognition Task
%A Seyler, Dominic
%A Dembelova, Tatiana
%A Del Corro, Luciano
%A Hoffart, Johannes
%A Weikum, Gerhard
%Y Gurevych, Iryna
%Y Miyao, Yusuke
%S Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F seyler-etal-2018-study
%X In this work, we discuss the importance of external knowledge for performing Named Entity Recognition (NER). We present a novel modular framework that divides the knowledge into four categories according to the depth of knowledge they convey. Each category consists of a set of features automatically generated from different information sources, such as a knowledge-base, a list of names, or document-specific semantic annotations. Further, we show the effects on performance when incrementally adding deeper knowledge and discuss effectiveness/efficiency trade-offs.
%R 10.18653/v1/P18-2039
%U https://aclanthology.org/P18-2039
%U https://doi.org/10.18653/v1/P18-2039
%P 241-246

Markdown (Informal)

[A Study of the Importance of External Knowledge in the Named Entity Recognition Task](https://aclanthology.org/P18-2039) (Seyler et al., ACL 2018)

• A Study of the Importance of External Knowledge in the Named Entity Recognition Task (Seyler et al., ACL 2018)

ACL

• Dominic Seyler, Tatiana Dembelova, Luciano Del Corro, Johannes Hoffart, and Gerhard Weikum. 2018. A Study of the Importance of External Knowledge in the Named Entity Recognition Task. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 241–246, Melbourne, Australia. Association for Computational Linguistics.