TreeAnnotator: Versatile Visual Annotation of Hierarchical Text Relations

By Philipp Helfrich, Elias Rieb, Giuseppe Abrami, Andy Lücking, Alexander Mehler. 2018

83 citations recorded by the source corpus.

We introduce T REE A NNOTATOR , a graphical tool for annotating tree-like structures, in particular structures that jointly map dependency relations and inclusion hierarchies, as used by Rhetorical Structure Theory (RST). T REE A NNOTATOR is browser-based, embedded within the UIMA framework and provides two visualization modes. T REE A NNOTATOR ’s interoperability exceeds similar tools, providing a wider range of formats, while annotation work can be completed more quickly due to a revised input method for RST dependency relations. T REE A NNOTATOR offers a multiple window view, which allows users to inspect several annotations side by side. For storing and versioning annotations, the UIMA Database Interface (UIMA DI) was developed to save documents based on a pre-defined type system. These features not only connect T REE A NNOTATOR annotations to modern technological and dialog theoretical work, but set it apart from related tools. The ease of use of T REE A NNOTATOR and its newly designed user interface is evaluated in a user study consisting of annotating rhetorical relations with T REE A NNOTATOR and the classic RSTTool .

Subfields: Artificial Intelligence, Information Extraction, Human-Computer Interaction

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

  1. Alexander M. Rush
  2. Colin Raffel
  3. Victor Sanh
  4. Thibault Févry
  5. Mohit Bansal
  6. Luke S. Zettlemoyer
  7. Canwen Xu
  8. Albert Webson

In Information Extraction

  1. Colin Raffel
  2. Alexander M. Rush

In Human-Computer Interaction

  1. Alexander M. Rush

Citations in the corpus