: A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an in...
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
In this paper, we present automated techniques for extracting metadata instance information by organizing and mining a set of news Web sites. We develop algorithms that detect and...
Srinivas Vadrevu, Saravanakumar Nagarajan, Fatih G...
This paper proposes a new region extraction algorithm based on cellular automaton operation, which only utilizes the region boundary information of the image. A simple pixel circu...
This paper presents a method for automatically generating an association thesaurus from a text corpus, and demonstrates its application to information retrieval. The thesaurus gen...