@InProceedings{lafourcade-joubert-lebrun:2017:RANLP,
  author    = {Lafourcade, Mathieu  and  Joubert, Alain  and  Le Brun, Nathalie},
  title     = {If mice were reptiles, then reptiles could be mammals or How to detect errors in the JeuxDeMots lexical network?},
  booktitle = {Proceedings of the International Conference Recent Advances in Natural Language Processing, RANLP 2017},
  month     = {September},
  year      = {2017},
  address   = {Varna, Bulgaria},
  publisher = {INCOMA Ltd.},
  pages     = {424--430},
  abstract  = {Correcting errors in a data set is a critical issue. This task can be either
	hand-made by experts, or by crowdsourcing methods, or automatically done using
	algorithms. Although the rate of errors present in the JeuxDeMots network is
	rather low, it is important to reduce it. We present here automatic methods for
	detecting potential secondary errors that would result from automatic inference
	mechanisms when they rely on an initial error manually detected. Encouraging
	results also invite us to consider strategies that would automatically detect
	"erroneous" initial relations, which could lead to the automatic detection of
	the majority of errors in the network.},
  url       = {https://doi.org/10.26615/978-954-452-049-6_056}
}