
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
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    <ns1:identifier>o:35338</ns1:identifier>
    <ns1:title language="sr">Pregled resursa za obradu kliničkih tekstova na različitim prirodnim jezicima</ns1:title>
    <ns1:title language="en">AN OVERVIEW OF RESOURCES FOR CLINICAL TEXT PROCESSING IN DIFFERENT NATURAL LANGUAGES</ns1:title>
    <ns1:language>sr</ns1:language>
    <ns1:description language="sr">Sažetak: Procesiranje prirodnog jezika je jedna od široko
raspostranjenih oblasti veštačke inteligencije. U zavisnosti od
domena tekstova kojima je procesiranje namenjeno, potrebni su
različiti resursi za obradu odgovarajućeg prirodnog jezika.
Klinički tekstovi nose mnoštvo informacija koje se mogu
analizirati u cilju boljeg razumevanja zdravstvenog stanja
pacijenta kao i u cilju sveobuhvatnog razumevanja bolesti. Cilj
ovog rada je prikaz resursa za obradu kliničkih tekstova na
različitim prirodnim jezicima.</ns1:description>
    <ns1:description language="sr">Abstract: Natural language processing is one of the most widespread
areas of artificial intelligence. According to the domain of the
texts for which it is intended, it requires various resources
necessary for the processing of the appropriate natural
language. Clinical texts carry a wealth of information that can
be analyzed in order to better understand the health status of
the patient as well as in order to have a comprehensive
understanding of the disease. The aim of this paper is to present
the resources for processing clinical texts in different natural
languages.</ns1:description>
    <ns1:keyword language="sr">Ključne riječi: procesiranje prirodnog jezika, klinički tekstovi, resursi</ns1:keyword>
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      <ns2:resource>1552102</ns2:resource>
      <ns2:identifier>https://infoteh.etf.ues.rs.ba/zbornik/2021/radovi/VRT-5/VRT-5-5.pdf</ns2:identifier>
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        <ns3:firstname>Ulfeta </ns3:firstname>
        <ns3:lastname>Marovac</ns3:lastname>
        <ns3:institution>Državni univerzitet u Novom Pazaru</ns3:institution>
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        <ns3:firstname>Aldina </ns3:firstname>
        <ns3:lastname>Avdić</ns3:lastname>
        <ns3:institution>Državni univerzitet u Novom Pazaru</ns3:institution>
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        <ns3:conor>29219175</ns3:conor>
        <ns3:orcid>0000-0003-4312-3839</ns3:orcid>
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    <ns1:size>6268708</ns1:size>
    <ns1:location>https://phaidrabg.bg.ac.rs/o:35338</ns1:location>
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    <ns1:cost>no</ns1:cost>
    <ns1:copyright>yes</ns1:copyright>
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      <ns8:faculty>20A01</ns8:faculty>
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  <ns12:digitalbook>
    <ns12:name_magazine language="en">2021 20th International Symposium INFOTEH-JAHORINA (INFOTEH)</ns12:name_magazine>
    <ns12:name_magazine language="sr">XX međunarodni simpozijum INFOTEH-JAHORINA 2021</ns12:name_magazine>
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    <ns12:to_page>204</ns12:to_page>
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