Semantic Relation Extraction from Legislative Text Using Generalized Syntactic Dependencies and Support Vector Machines

Guido Boella, Luigi Di Caro, Livio Robaldo. Semantic Relation Extraction from Legislative Text Using Generalized Syntactic Dependencies and Support Vector Machines. In Leora Morgenstern, Petros S. Stefaneas, François Lévy, Adam Wyner, Adrian Paschke, editors, Theory, Practice, and Applications of Rules on the Web - 7th International Symposium, RuleML 2013, Seattle, WA, USA, July 11-13, 2013. Proceedings. Volume 8035 of Lecture Notes in Computer Science, pages 218-225, Springer, 2013. [doi]

@inproceedings{BoellaCR13,
  title = {Semantic Relation Extraction from Legislative Text Using Generalized Syntactic Dependencies and Support Vector Machines},
  author = {Guido Boella and Luigi Di Caro and Livio Robaldo},
  year = {2013},
  doi = {10.1007/978-3-642-39617-5_20},
  url = {http://dx.doi.org/10.1007/978-3-642-39617-5_20},
  researchr = {https://researchr.org/publication/BoellaCR13},
  cites = {0},
  citedby = {0},
  pages = {218-225},
  booktitle = {Theory, Practice, and Applications of Rules on the Web - 7th International Symposium, RuleML 2013, Seattle, WA, USA, July 11-13, 2013. Proceedings},
  editor = {Leora Morgenstern and Petros S. Stefaneas and François Lévy and Adam Wyner and Adrian Paschke},
  volume = {8035},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-642-39616-8},
}