Discriminative Reranking for Natural Language Parsing
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A maximum-entropy-inspired parser
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Assigning function tags to parsed text
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Towards designing natural language interfaces
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Text mining techniques for patent analysis
Information Processing and Management: an International Journal
Patent surrogate extraction and evaluation in the context of patent mapping
Journal of Information Science
Semantic Patent Clustering for Biomedical Communities
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Improving the comprehension of legal documentation: the case of patent claims
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Application adaptive electronic dictionary with intelligent interface
ElectricDict '04 Proceedings of the Workshop on Enhancing and Using Electronic Dictionaries
Patent claim decomposition for improved information extraction
Proceedings of the 2nd international workshop on Patent information retrieval
Genre and domain in patent texts
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
A vector space analysis of swedish patent claims with different linguistic indices
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
Developing a comprehensive patent related information retrieval tool
Journal of Theoretical and Applied Electronic Commerce Research
A korean syntactic parser customized for korean-english patent MT system
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Extract conceptual graphs from plain texts in patent claims
Engineering Applications of Artificial Intelligence
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We propose a NLP methodology for analyzing patent claims that combines symbolic grammar formalisms with data-intensive methods while enhancing analysis robustness. The output of our analyzer is a shallow interlingual representation that captures both the structure and content of a claim text. The methodology can be used in any patent-related application, such as machine translation, improving readability of patent claims, information retrieval, extraction, summarization, generation, etc. The methodology should be universal in the sense that it could be applied to any language, other parts of patent documentation and text as such.