WAT-SL: A Customizable Web Annotation Tool for Segment Labeling

نویسندگان

  • Johannes Kiesel
  • Henning Wachsmuth
  • Khalid Al Khatib
  • Benno Stein
چکیده

A frequent type of annotations in text corpora are labeled text segments. Generalpurpose annotation tools tend to be overly comprehensive, often making the annotation process slower and more error-prone. We present WAT-SL, a new web-based tool that is dedicated to segment labeling and highly customizable to the labeling task at hand. We outline its main features and exemplify how we used it for a crowdsourced corpus with labeled argument units.

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تاریخ انتشار 2017