Scaling Information Extraction to Large Document Collections Eugene Agichtein   View Paper (PDF)   Return to December 2005, Searching and Mining Literature Digital Libraries, Volume 28, Number 4 Abstract Information extraction and text mining applications are just beginning to tap the immense amounts of valuable textual information available online. In order to extract information from millions, and in some cases, billions of documents, different solutions to scalability emerged. We review key approaches for scaling up information extraction, including using general-purpose search engines as well as indexing techniques specialized for information extraction applications. Scalable information extraction is an active area of research, and we highlight some of the opportunities and challenges in this area that are relevant to the database community. ©2006 Association for Computing Machinery