A Language Model and Clue based Machine Learning Method for Discovering Technology Trends from Patent Text |
Tian, Yingshi
(한국과학기술원 정보통신공학과)
Kim, Young-Ho (한국과학기술원 정보통신공학과) Jeong, Yoon-Jae (한국과학기술원 전산학과) Ryu, Ji-Hee (한국과학기술원 전산학과) Myaeng, Sung-Hyon (한국과학기술원 정보통신공학과) |
1 | T. Takaki, A. Fujii, and T. Ishikawa. Associative document retrieval by query subtopic analysis and its application to invalidity patent search. In Proceedings of the 13th ACM International conference on Information and Knowledge Management (CIKM '04), pp. 399-406, 2004 DOI |
2 | W. Pottenger and T. Yang. Detecting emerging concepts in textual data mining. Computational Information Retrieval, pp. 1-17, 2001 |
3 | A. Shinmori, M. Okumura, Y. Marukawa, and M. Iwayama.Patent claim processing for readability: structure analysis and term explanation. In Proceedings of the ACL-03 workshop on patent corpus processing, pp. 56-65, 2003 DOI |
4 | H. Itoh, H. Mano, and Y. Ogawa, Term distillation in patent retrieval. In Proceedings of the ACL-03 workshop on patent corpus processing, pp. 41-45, 2003 DOI |
5 | B. Lent, R. Agrawal, and R. Srikant. Discovering trends in text databases. In Proceedings of the 3rd international conference on Knowledge Discovery and Data mining (KDD'97), pp. 227-230, 1997 |
6 | Library for Support Vector Machine http://www.csie.ntu.edu.tw/-cjlin/libsvm/ |
7 | L. Wanner, et al. Towards content-oriented patent document processing. World Patent Information, Vol. 30 (1), pp. 21-33, 2007 DOI ScienceOn |
8 | F. Bouskila and W. Pottenger. The role of semantic locality in hierarchical distributed dynamic indexing. In Proceedings of the International Conference on Artificial Intelligence (IC-AI'00), 2000 |
9 | C. Koster, M. Seutter and J. Beney. Multi- Classification of Patent Applications with winnow. In Proceedings PSI 2003, pp. 545-554, 2003 |
10 | R. Nallpati. Semantic language models for topic detection and tracking. In Proceedings of the conference of the North American chapter of the Association for Computational Linguistics on Human Language Technology (HLTNAACL'03), pp. 1-6, 2003 DOI |
11 | K. Lai and S. Wu. Using the patent co-citation approach to establish a new patent classification system. Information Processing and Management, Vol. 41, pp. 313-330, 2005 DOI ScienceOn |
12 | K. Ahmad and A. Al-Thubaity. Can text analysis tell us something about technology progress? In Proceedings of the ACL-03 workshop on patent corpus processing, pp. 41-45, 2003 DOI |
13 | A. Chakrabarti, I. Dror, and N. Eakabuse. Interorganizational transfer of knowledge: An analysis of patent citations of a defense firm. IEEE Transactions on Engineering Management, Vol. 40 (1), pp. 91-94, 1993 DOI ScienceOn |
14 | A. Porter and D. Jhu. Technological mapping for management of technology. In Proceedings of International Symposium on Technology, 2001 |
15 | B. Yoon and Y. Park. A text mining-based patent network: analytical tool for high-technology trend. Journal of High Technology Management Research, Vol. 15 (1), pp. 37-50, 2004 DOI ScienceOn |
16 | Y. Kim, J. Suh, and S. Park. Visualization of patent analysis for emerging technology. Expert Systems with Applications,Vol. 34 (3), pp. 1804-1812, 2007 DOI ScienceOn |
17 | Q.Mei and C.Zhai. A mixture model for contextual text mining. In Proceedings of the 12th ACM SIGKDD international conference on Knowledge Discovery and Data mining(KDD'06), pp. 649-655, 2006 DOI |
18 | D. Klein and C. Manning. Accurate unlexicalized parsing. In Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics (ACL-03), pp. 423-430, 2003 |