Topic detection is a task that automatically identifies topics (e.g., biochemistry and protein structure) in scientific articles based on information content. Topic detection will benefit many other natural language processing tasks including information retrieval, text summarization and question answering, and is a necessary step towards the building of an information system that provides an efficient way for biologists to seek information from an ocean of literature.