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Automatic detection of treatment relationships for patent retrieval
| Content Provider | ACM Digital Library |
|---|---|
| Author | Sakurai, Shigeyuki Chu, Aaron Cardenas, Alfonso F. |
| Abstract | 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. |
| Starting Page | 9 |
| Ending Page | 14 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781605582566 |
| DOI | 10.1145/1458572.1458575 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2008-10-30 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Treatment relationships Lexico-syntactic patterns Patent retrieval |
| Content Type | Text |
| Resource Type | Article |
