Dataset Open Access

Webis Text Reuse Corpus 2012

Potthast, Martin; Hagen, Matthias; Völske, Michael; Gomoll, Jakob; Stein, Benno

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  <identifier identifierType="DOI">10.5281/zenodo.1341602</identifier>
      <creatorName>Potthast, Martin</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0003-2451-0665</nameIdentifier>
      <affiliation>Bauhaus-University Weimar</affiliation>
      <creatorName>Hagen, Matthias</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-9733-2890</nameIdentifier>
      <affiliation>Bauhaus-University Weimar</affiliation>
      <creatorName>Völske, Michael</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0002-9283-6846</nameIdentifier>
      <affiliation>Bauhaus-University Weimar</affiliation>
      <creatorName>Gomoll, Jakob</creatorName>
      <affiliation>Bauhaus-University Weimar</affiliation>
      <creatorName>Stein, Benno</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="">0000-0001-9033-2217</nameIdentifier>
      <affiliation>Bauhaus-University Weimar</affiliation>
    <title>Webis Text Reuse Corpus 2012</title>
    <date dateType="Issued">2012-09-18</date>
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    <rights rightsURI="">Creative Commons Attribution Share Alike 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;The Webis Text Reuse Corpus 2012 (Webis-TRC-12) compiles manually written documents obtained from a completely controlled, yet representative environment that emulates the web. Each document in the corpus is about one of the 150 topics used at the TREC Web Tracks 2009&amp;ndash;2011, thus forming a strong connection with existing evaluation efforts. Writers, hired at the crowdsourcing platform oDesk, had to retrieve sources for a given topic and to reuse text from what they found. Part of the corpus are detailed interaction logs that consistently cover the search for sources as well as the creation of documents. This will allow for in-depth analyses of how text is composed if a writer is at liberty to reuse texts from a third party.&lt;/p&gt;

    <description descriptionType="Other">{"references": ["Potthast, M., Hagen, M., V\u00f6lske, M., and Stein, B. (2013). Crowdsourcing Interaction Logs to Understand Text Reuse from the Web. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 13), P. Fung, and M. Poesio, eds. (Association for Computational Linguistics), pp. 1212\u20131221.", "Potthast, M., Hagen, M., V\u00f6lske, M., and Stein, B. (2013). Exploratory Search Missions for TREC Topics. In 3rd European Workshop on Human-Computer Interaction and Information Retrieval (EuroHCIR 2013), M.L. Wilson, T. Russell-Rose, B. Larsen, P. Hansen, and K. Norling, eds. (, pp. 11\u201314.", "Hagen, M., Potthast, M., V\u00f6lske, M., Gomoll, J., and Stein, B. (2016). How Writers Search: Analyzing the Search and Writing Logs of Non-fictional Essays. In Proceedings of the 1st ACM SIGIR Conference on Human Information Interaction and Retrieval (CHIIR 16), D. Kelly, R. Capra, N. Belkin, J. Teevan, and P. Vakkari, eds. (ACM), pp. 193\u2013202."]}</description>
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