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        <title>Comparison of String Similarity Measures for Obscenity Filtering</title>
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        <namePart type="given">Ekaterina</namePart>
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            <title>Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing</title>
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        <name type="personal">
            <namePart type="given">Tomaž</namePart>
            <namePart type="family">Erjavec</namePart>
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            <namePart type="given">Jakub</namePart>
            <namePart type="family">Piskorski</namePart>
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        <name type="personal">
            <namePart type="given">Lidia</namePart>
            <namePart type="family">Pivovarova</namePart>
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        <name type="personal">
            <namePart type="given">Jan</namePart>
            <namePart type="family">Šnajder</namePart>
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            <namePart type="given">Roman</namePart>
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    <abstract>In this paper we address the problem of filtering obscene lexis in Russian texts. We use string similarity measures to find words similar or identical to words from a stop list and establish both a test collection and a baseline for the task. Our experiments show that a novel string similarity measure based on the notion of an annotated suffix tree outperforms some of the other well known measures.</abstract>
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%0 Conference Proceedings
%T Comparison of String Similarity Measures for Obscenity Filtering
%A Chernyak, Ekaterina
%Y Erjavec, Tomaž
%Y Piskorski, Jakub
%Y Pivovarova, Lidia
%Y Šnajder, Jan
%Y Steinberger, Josef
%Y Yangarber, Roman
%S Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F chernyak-2017-comparison
%X In this paper we address the problem of filtering obscene lexis in Russian texts. We use string similarity measures to find words similar or identical to words from a stop list and establish both a test collection and a baseline for the task. Our experiments show that a novel string similarity measure based on the notion of an annotated suffix tree outperforms some of the other well known measures.
%R 10.18653/v1/W17-1415
%U https://aclanthology.org/W17-1415
%U https://doi.org/10.18653/v1/W17-1415
%P 97-101

Markdown (Informal)

[Comparison of String Similarity Measures for Obscenity Filtering](https://aclanthology.org/W17-1415) (Chernyak, BSNLP 2017)

• Comparison of String Similarity Measures for Obscenity Filtering (Chernyak, BSNLP 2017)

ACL

• Ekaterina Chernyak. 2017. Comparison of String Similarity Measures for Obscenity Filtering. In Proceedings of the 6th Workshop on Balto-Slavic Natural Language Processing, pages 97–101, Valencia, Spain. Association for Computational Linguistics.