Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Patent claim processing for readability: structure analysis and term explanation
PATENT '03 Proceedings of the ACL-2003 workshop on Patent corpus processing - Volume 20
Transforming patents into prior-art queries
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
Automatic query generation for patent search
Proceedings of the 18th ACM conference on Information and knowledge management
Unsupervised learning for reranking-based patent retrieval
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Proceedings of the 4th International Conference on Theory and Practice of Electronic Governance
Building queries for prior-art search
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Applying key phrase extraction to aid invalidity search
Proceedings of the 13th International Conference on Artificial Intelligence and Law
Patent search using IPC classification vectors
Proceedings of the 4th workshop on Patent information retrieval
Improving retrievability of patents in prior-art search
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Improving retrievability with improved cluster-based pseudo-relevance feedback selection
Expert Systems with Applications: An International Journal
Lexical issues of a syntactic approach to interactive patent retrieval
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Effective query generation and postprocessing strategies for prior art patent search
Journal of the American Society for Information Science and Technology
A patent system ontology for facilitating retrieval of patent related information
Proceedings of the 6th International Conference on Theory and Practice of Electronic Governance
Recommending patents based on latent topics
Proceedings of the 7th ACM conference on Recommender systems
Combining pre-retrieval query quality predictors using genetic programming
Applied Intelligence
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The importance of patents is increasing in global society. In preparing a patent application, it is essential to search for related patents that may invalidate the invention. However, it is time-consuming to identify them among the millions of patents. This article proposes a patent-retrieval method that considers a claim structure for a more accurate search for invalidity. This method uses a claim text as input; it consists of two retrieval stages. In stage 1, general text analysis and retrieval methods are applied to improve recall. In stage 2, the top N documents retrieved in stage 1 are rearranged to improve precision by applying text analysis and retrieval methods using the claim structure. Our two-stage retrieval introduces five precision-oriented analysis and retrieval methods: query-term extraction from a portion of a claim text that describes the characteristics of a claim; query term-weighting without term frequency; query term-weighting with “measurement terms”; text retrieval using only claims as a target; and calculating the relevant score by “partially” adding scores in stage 2 to those in stage 1. Evaluation results using test sets of the NTCIR4 Patent Retrieval Task show that our methods are effective, though the degree of the effectiveness varies depending on the test sets.