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    <titleInfo>
        <title>Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish</title>
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    <name type="personal">
        <namePart type="given">Michał</namePart>
        <namePart type="family">Marcińczuk</namePart>
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            <title>Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017</title>
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        <name type="personal">
            <namePart type="given">Ruslan</namePart>
            <namePart type="family">Mitkov</namePart>
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        <name type="personal">
            <namePart type="given">Galia</namePart>
            <namePart type="family">Angelova</namePart>
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                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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            <publisher>INCOMA Ltd.</publisher>
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    <abstract>In the paper we present a tool for lemmatization of multi-word common noun phrases and named entities for Polish called LemmaPL. The tool is based on a set of manually crafted rules and heuristics utilizing a set of dictionaries (including morphological, named entities and inflection patterns). The accuracy of lemmatization obtained by the tool reached 97.99% on a dataset with multi-word common noun phrases and 86.17% for case-sensitive evaluation on a dataset with named entities.</abstract>
    <identifier type="citekey">marcinczuk-2017-lemmatization</identifier>
    <identifier type="doi">10.26615/978-954-452-049-6_064</identifier>
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        <date>2017-09</date>
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            <start>483</start>
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%0 Conference Proceedings
%T Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish
%A Marcińczuk, Michał
%Y Mitkov, Ruslan
%Y Angelova, Galia
%S Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017
%D 2017
%8 September
%I INCOMA Ltd.
%C Varna, Bulgaria
%F marcinczuk-2017-lemmatization
%X In the paper we present a tool for lemmatization of multi-word common noun phrases and named entities for Polish called LemmaPL. The tool is based on a set of manually crafted rules and heuristics utilizing a set of dictionaries (including morphological, named entities and inflection patterns). The accuracy of lemmatization obtained by the tool reached 97.99% on a dataset with multi-word common noun phrases and 86.17% for case-sensitive evaluation on a dataset with named entities.
%R 10.26615/978-954-452-049-6_064
%U https://doi.org/10.26615/978-954-452-049-6_064
%P 483-491

Markdown (Informal)

[Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish](https://doi.org/10.26615/978-954-452-049-6_064) (Marcińczuk, RANLP 2017)

• Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish (Marcińczuk, RANLP 2017)

ACL

• Michał Marcińczuk. 2017. Lemmatization of Multi-word Common Noun Phrases and Named Entities in Polish. In Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017, pages 483–491, Varna, Bulgaria. INCOMA Ltd..