Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Feature selection, perceptron learning, and a usability case study for text categorization
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Content-based retrieval for music collections
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
New Methods in Automatic Extracting
Journal of the ACM (JACM)
Extracting sentence segments for text summarization: a machine learning approach
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Textual Data Mining to Support Science and Technology Management
Journal of Intelligent Information Systems
On feature distributional clustering for text categorization
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Automatic thesaurus generation for Chinese documents
Journal of the American Society for Information Science and Technology
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Patent claim processing for readability: structure analysis and term explanation
PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20
Natural language analysis of patent claims
PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Generic title labeling for clustered documents
Expert Systems with Applications: An International Journal
Development of a multilingual text mining approach for knowledge discovery in patents
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
An IPC-based vector space model for patent retrieval
Information Processing and Management: an International Journal
Development of a GTM-based patent map for identifying patent vacuums
Expert Systems with Applications: An International Journal
Journal of Information Science
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Patent documents contain important research results. They are often collectively analyzed and organized in a visual way to support decision making. However, they are lengthy and rich in technical terminology, and thus require a lot of human effort for analysis. Automatic tools for assisting patent engineers or decision makers in patent analysis are in great demand. This paper describes a summarization method for patent surrogate extraction, intended to efficiently and effectively support patent mapping, which is an important subtask of patent analysis. Six patent maps were used to evaluate its relative usefulness. The experimental results confirm that the machine generated summaries do preserve more important content words than some other patent sections or even than the full patent texts when only a few terms are to be considered for classification and mapping. The implication is that if one were to determine a patent's category based on only a few terms at a quick pace, one could begin by reading the section summaries generated automatically.