@article{ yanagihori_improvement_2014,
  title = {Improvement of Terminology Extraction Method for Specific Patent Search},
  volume = {35},
  issn = {1877-0509},
  url = {http://www.sciencedirect.com/science/article/pii/S1877050914012204},
  doi = {http://dx.doi.org/10.1016/j.procs.2014.08.255},
  abstract = {Abstract In general, similar documents searching in the patent field, it is considered effective if compound nouns are used as indexing terms; however, the presence of compound nouns in the patent world is special. Applicants often intentionally create new compound nouns by combining nouns related to their invention that are not in the dictionary. Therefore, compound noun co-occurrence is often rare and document similarity inevitably becomes low. Therefore, it is necessary to find other similar compound nouns. In this paper use the notification of reasons for refusal. This is what the examiner to publish. Compound nouns are contrasted for similar inventions from application and citations documents. Extracting these compound nouns, they are then used as knowledge in patent search. Because similar compound nouns are not necessarily semantically related, it is calculated a rating similar to creating a rule.},
  number = {0},
  journal = {Procedia Computer Science},
  author = {Yanagihori, Kyoko and Tanaka, Koji and Tsuda, Kazuhiko},
  year = {2014},
  note = {Knowledge-Based and Intelligent Information amp;amp; Engineering Systems 18th Annual Conference, {KES}-2014 Gdynia, Poland, September 2014 Proceedings},
  keywords = {terminology_extraction},
  pages = {879 -- 885}
}

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