November 12, 2020 Dataset Open Access

Irina Nikishina; Alexander Panchenko; Varvara Logacheva; Natalia Loukachevitch

DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.4279821</identifier>
  <creators>
    <creator>
      <creatorName>Irina Nikishina</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-4910-8568</nameIdentifier>
      <affiliation>Skolkovo Institute of Science and Technology, Moscow, Russia</affiliation>
    </creator>
    <creator>
      <creatorName>Alexander Panchenko</creatorName>
      <affiliation>Skolkovo Institute of Science and Technology, Moscow, Russia</affiliation>
    </creator>
    <creator>
      <creatorName>Varvara Logacheva</creatorName>
      <affiliation>Skolkovo Institute of Science and Technology, Moscow, Russia</affiliation>
    </creator>
    <creator>
      <creatorName>Natalia Loukachevitch</creatorName>
      <affiliation>Research Computing Center, Lomonosov Moscow State University, Moscow, Russia</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Studying Taxonomy Enrichment on Diachronic WordNet Versions</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>RuWordNet, wordnets</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-11-12</date>
  </dates>
  <language>ru</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4279821</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4270477</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;We choose two versions of WordNet and then select words which appear only in a newer version. For each word, we get its hypernyms from the newer WordNet version and consider them as gold standard hypernyms. We add words to the dataset if only their hypernyms appear in both snippets. We do not consider adjectives and adverbs, because they often introduce abstract concepts and are difficult to interpret by context.&lt;/p&gt;

&lt;p&gt;Previous dataset (RUSSE&amp;#39;2020) does not include short words (&amp;lt;4&amp;nbsp;symbols), diminutives, named entities and other constraints described in the shared task paper. We remove those constraints and present a non-restricted Russian dataset and a symmetrical English dataset from WordNet database.&lt;/p&gt;</description>
  </descriptions>
</resource>