dARe -- Using Argumentation to Explain Conclusions from a Controlled Natural Language Knowledge Base

From International Center for Computational Logic

Toggle side column

dARe -- Using Argumentation to Explain Conclusions from a Controlled Natural Language Knowledge Base

Adam Z. WynerAdam Z. Wyner,  Hannes StraßHannes Straß
Adam Z. Wyner, Hannes Straß
dARe -- Using Argumentation to Explain Conclusions from a Controlled Natural Language Knowledge Base
In Salem Benferhat and Karim Tabia and Moonis Ali, eds., Proceedings of the Thirtieth International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE) -- Special Track on Applications of Argumentation, volume 10351 of Lecture Notes in Artificial Intelligence, 328--338, June 2017. Springer
    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-60045-1_35.
    @inproceedings{WS2017,
      author    = {Adam Z. Wyner and Hannes Stra{\ss}},
      title     = {dARe -- Using Argumentation to Explain Conclusions from a
                   Controlled Natural Language Knowledge Base},
      editor    = {Salem Benferhat and Karim Tabia and Moonis Ali},
      booktitle = {Proceedings of the Thirtieth International Conference on
                   Industrial Engineering and Other Applications of Applied
                   Intelligent Systems (IEA/AIE) -- Special Track on Applications of
                   Argumentation},
      series    = {Lecture Notes in Artificial Intelligence},
      volume    = {10351},
      publisher = {Springer},
      year      = {2017},
      month     = {June},
      pages     = {328--338},
      doi       = {10.1007/978-3-319-60045-1_35}
    }