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
Similarity Analysis of Patent Claims Using Natural Language Processing Techniques
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 04
Comparing the Conceptual Graphs Extracted from Patent Claims
SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
A co-training based method for chinese patent semantic annotation
Proceedings of the 21st ACM international conference on Information and knowledge management
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In several application domains research in natural language processing and information extraction has spawned valuable tools that support humans in structuring, aggregating and managing large amounts of information available as text. Patent claims, although subject to a number of rigid constraints and therefore forced into foreseeable structures, are written in a language even good parsing algorithms tend to fail miserably at. This is primarily caused by long and complex sentences that are a concatenation of a multitude of descriptive elements. We present an approach to split patent claims into several parts in order to improve parsing performance for further automatic processing.