@InProceedings{shao-hardmeier-nivre:2017:I17-2,
  author    = {Shao, Yan  and  Hardmeier, Christian  and  Nivre, Joakim},
  title     = {Recall is the Proper Evaluation Metric for Word Segmentation},
  booktitle = {Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {November},
  year      = {2017},
  address   = {Taipei, Taiwan},
  publisher = {Asian Federation of Natural Language Processing},
  pages     = {86--90},
  abstract  = {We extensively analyse the correlations and drawbacks of conventionally
	employed evaluation metrics for word segmentation. Unlike in standard
	information retrieval, precision favours under-splitting systems and therefore
	can be misleading in word segmentation. Overall, based on both theoretical and
	experimental analysis, we propose that precision should be excluded from the
	standard evaluation metrics and that the evaluation score obtained by using
	only recall is sufficient and better correlated with the performance of word
	segmentation systems.},
  url       = {http://www.aclweb.org/anthology/I17-2015}
}