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Search for patents using treatment and causal relationships

An interesting area of research in information retrieval is that of relationship extraction. The ability to scan an article or set of articles and extract relationships such as "X treats Y" or "A happens because of B" is key to retrieving articles of interest to a large population.
 In this paper, we describe our method of identifying and extracting treatment and causal relationships from medical patent documents. We use a medical patent corpus to show that using relationship patterns to retrieve medical patent documents helps improving the recall of the system immensely. We also show that expanding our search to look for a broader set of relationships and including causal relationships along with treatment relationships, addresses a larger range of patent documents thereby improving the recall of the system significantly.