Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection

Linting Xue, Collin Lynch, Min Chi. Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection. In Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette, editors, Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017. International Educational Data Mining Society (IEDMS), 2017. [doi]

@inproceedings{XueLC17,
  title = {Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection},
  author = {Linting Xue and Collin Lynch and Min Chi},
  year = {2017},
  url = {http://educationaldatamining.org/EDM2017/proc_files/papers/paper_107.pdf},
  researchr = {https://researchr.org/publication/XueLC17},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017},
  editor = {Xiangen Hu and Tiffany Barnes and Arnon Hershkovitz and Luc Paquette},
  publisher = {International Educational Data Mining Society (IEDMS)},
}