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<item>
  <id>05949547</id>
  <dt>a</dt>
  <an>05949547</an>
  <augroup>
    <au>Robaldo, Livio</au>
    <au>Poesio, Massimo</au>
    <au>Ducceschi, Luca</au>
    <au>Chamberlain, Jon</au>
    <au>Kruschwitz, Udo</au>
  </augroup>
  <ti>Italian anaphoric annotation with the phrase detectives game-with-a-purpose.</ti>
  <so>Pirrone, Roberto (ed.) et al., AI*IA 2011: Artificial intelligence around man and beyond. XIIth international conference of the Italian association for artificial intelligence, Palermo, Italy, September 15--17, 2011. Proceedings. Berlin: Springer (ISBN 978-3-642-23953-3/pbk). Lecture Notes in Computer Science 6934. Lecture Notes in Artificial Intelligence, 407-412 (2011).</so>
  <py>2011</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-23954-0_39</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Recently, web collaboration (also known as crowd sourcing) has started to emerge as a viable alternative for building the large resources that are needed to build and evaluate NLP systems. In this spirit, the Anawiki project (\url{http://anawiki.essex.ac.uk/}) [8] aimed at experimenting with Web collaboration and human computation as a solution to the problem of creating large-scale linguistically annotated corpora. So far, the main initiative of the project has been Phrase Detectives (PD) [2], a game designed to collect judgments about anaphoric annotations. To our knowledge, Phrase Detectives was the first attempt to exploit the effort of Web volunteers to annotate corpora (subsequent efforts include [1] and [5]).</ab>
    <rv></rv>
  </abgroup>
</item>