@InProceedings{suzuki-takatsuka:2016:COLING,
  author    = {Suzuki, Shoko  and  Takatsuka, Hiromichi},
  title     = {Extraction of Keywords of Novelties From Patent Claims},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {1192--1200},
  abstract  = {There are growing needs for patent analysis using Natural Language Processing
	(NLP)-based approaches. Although NLP-based approaches can extract various
	information from patents, there
	are very few approaches proposed to extract those parts what inventors regard
	as novel or having an inventive step compared to all existing works ever. To
	extract such parts is difficult even
	for human annotators except for well-trained experts. This causes many
	difficulties in analyzing
	patents. We propose a novel approach to automatically extract such keywords
	that
	relate to novelties or inventive steps from patent claims using the structure
	of the claims. In addition, we also
	propose a new framework of evaluating our approach. The experiments show that
	our approach outperforms the existing keyword extraction methods significantly
	in many technical fields.},
  url       = {http://aclweb.org/anthology/C16-1113}
}