Utilizing Sub-topic Units for Patent Prior-Art Search

ZHOU Dong; LIU Jianxun; ZHANG Sanrong

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Article Navigation > Chinese Journal of Electronics > 2014 > 23(3): 480-483

ZHOU Dong, LIU Jianxun, ZHANG Sanrong, “Utilizing Sub-topic Units for Patent Prior-Art Search,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 480-483, 2014,

Citation:

ZHOU Dong, LIU Jianxun, ZHANG Sanrong, “Utilizing Sub-topic Units for Patent Prior-Art Search,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 480-483, 2014,

ZHOU Dong, LIU Jianxun, ZHANG Sanrong, “Utilizing Sub-topic Units for Patent Prior-Art Search,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 480-483, 2014,

Citation:

ZHOU Dong, LIU Jianxun, ZHANG Sanrong, “Utilizing Sub-topic Units for Patent Prior-Art Search,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 480-483, 2014,

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Utilizing Sub-topic Units for Patent Prior-Art Search

Key Laboratory of Knowledge Processing and Networked Manufacturing & School of Computer Science and Engineering, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China

Funds: This work is supported by the National Natural Science Foundation of China (No.61300129, No.61272063 and No.61100054), the Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry (No.[2013] 1792), Excellent Youth Foundation of Hunan Scientific Committee (No.11JJ1011), and Hunan Provincial Natural Science Foundation of China (No.12JJ6064 and 12JJB009), Scientific Research Fund of Hunan Provincial Education Department of China (No.11B048 and No.12K105).

More Information

Corresponding author: ZHOU Dong
Received Date: 2013-07-01
Rev Recd Date: 2013-10-01
Publish Date: 2014-07-05

Abstract

Abstract

One of the defining challenges in patent prior-art search is the problem of representing a long, technical document as a query. Previously work on this problem has concentrated on single query representations of the patent application. In the following paper, we describe an approach which uses multiple query representations generated from semantically coherent passages extracted from patent documents. We validate our technique in an experiment using the CLEF-IP 2011 patent search collection. Our system achieves statistically significant improvements over various state-of-art query generation techniques.
- Patent information retrieval,
- Sub-topic units,
- Multiple query representations,
- Collaborative filtering,
- Patent ranking

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References(12)

References

F. Piroi, et al., M. Lupu, "CLEF-IP 2011: Retrieval in the intellectual property domain", CLEF (Notebook Papers/Labs/Workshop), Amsterdam, The Netherlands, pp.1-16, 2011.

D. Zhou, J. Liu, S. Zhang, "Query generation techniques for patent prior-art search in multiple languages", Proceedings of the 2nd CCF Conference on Natural Language Processing & Chinese Computing, Springer CCIS series, Chongqing, China, pp.310-321, 2013.

W. Magdy, et al., "Applying the KISS principle for the CLEF-IP 2010 prior art candidate patent search task", CLEF (Notevook Papers/LABs/Workshops), Padua, Italy, pp.1-7, 2010.

P. Lopez, L. Romary, "Experiments with citation mining and key-term extraction for prior art search", CLEF (Notebook Papers/LABs/Workshops), Padua, Italy, pp.1-11, 2010.

X. Xue, W.B. Croft, "Transforming patents into prior-art queries", Proceedings of the 32nd international ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'09, Boston, MA, USA, pp.808-809, 2009.

W. Magdy, P. Lopez, G.J.F. Jones, "Simple vs. sophisticated approaches for patent prior-art search", Proceedings of the 33rd European Conference on Advanees in information Retrieval, ECIR'11, Dublin, Ireland, pp.725-728, 2011.

P. Mahdabi, L. Andersson, M. Keikha, F. Crestani, "Automatic refinement of patent queries using concept importance predictors", Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR'12, Portland, Oregon, USA, pp.505-514, 2012.

F. Cacheda, V. Carneiro, et al., "Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems", ACM Trans. Web, Vol.5, No.1, pp.2:1-2:33, 2011.

J. Cao, Z. Wu, Y. Zhuang, B. Mao, Z. Yu, "A novel collaborative filtering using kernel methods for recommender systems", Chinese Journal of Electronics, Vol.21, No.4, pp.609-614, 2012.

J. Zhong, Q. Sun, X. Li, L. Wen, "A novel feature selection method based on probability latent semantic analysis for chinese text classification", Chinese Journal of Electronics, Vol.20, No.2, pp.228-232, 2011.

M.A. Hearst, "Texttiling: Segmenting text into multi-paragraph subtopic passages", Comput. Linguist, Vol.23, No.1, pp.33-64, 1997.

F.Y.Y. Choi, "Advances in domain independent linear text segmentation", Proceedings of the 1st North American Chapter of the Association for Computational Linguistics Conference, NAACL 2000, Seattle, Washington, pp.26-33, 2000.

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