C4.5: programs for machine learning
C4.5: programs for machine learning
A patent search and classification system
Proceedings of the fourth ACM conference on Digital libraries
Collection selection and results merging with topically organized U.S. patents and TREC data
Proceedings of the ninth international conference on Information and knowledge management
Automatic detection of causal relations for Question Answering
MultiSumQA '03 Proceedings of the ACL 2003 workshop on Multilingual summarization and question answering - Volume 12
BioPatentMiner: an information retrieval system for biomedical patents
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Search for patents using treatment and causal relationships
PaIR '10 Proceedings of the 3rd international workshop on Patent information retrieval
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We devise a method for automatically detecting treatment relationships using lexico-syntactic patterns and its application to medical-oriented patent retrieval. This process for detecting treatment relationships involves finding lexico-syntactic patterns that are highly indicative of treatment relationships and also producing classification rules for those patterns. This treatment relationship detection process is then used in a system to find treatment relationships based on a user query in a medical patent source. The query will consist of terms that the user wants to find in the subject or object of a treatment relationship. This is of great interest to both patent examiners and patent applicants as they search for prior art. Through the use of classification rules, this system was able to achieve a precision of 85.81% on a set of 20 test queries.