A Rule-based Approach for Automatic Identification of Publication Types of Medical Papers

The medical domain has an abundance of textual resources of varying quality. The quality of medical articles depends largely on their publication types. However, identifying high-quality medical articles from search results is till date a manual and time-consuming process. We present a simple, rule-based, post-retrieval approach to automatically identify medical articles belonging to three high-quality publication types. Our approach simply uses title and abstract information of the articles to perform this. Our experiments show that such a rule-based approach has close to 100% precision and recall for the three publication types.