Effective Document-Level Features for Chinese Patent Word Segmentation
Si Li, Nianwen Xue · 2014
A patent is a property right for an inven-tion granted by the government to the in-ventor. Patents often have a high con-centration of scientific and technical terms that are rare in everyday language. How-ever, some scientific and technical terms usually appear with high frequency only in one specific patent. In this paper, we propose a pragmatic approach to Chinese word segmentation on patents where we train a sequence labeling model based on a group of novel document-level features. Experiments show that the accuracy of our model reached 96.3 % (F1 score) on the de-velopment set and 95.0 % on a held-out test set. 1