document: Extracting linguistic DNA : NStein goes to work for UPI It 's a tantalizing problem for categorization . United Press International -LRB- UPI -RRB- has more than 700 correspondents creating thousands of stories every week , running the gamut from business news to sports to entertainment to global coverage of America 's war on terrorism . And while UPI and others news services have mechanisms for adding keywords and categorizing their content , UPI recognized a need to add more automation to the process . With the recent growth and improvement in tools for Computer-Aided Indexing -LRB- CAI -RRB- , UPI undertook a process of looking at its needs and evaluating the many CAI tools out there . In the end , they chose technology from Montreal-based NStein Technologies . `` Our main objective was to acquire the best CAI tool to help improve our customers ' access and interaction with our content , '' says Steve Sweet , CIO at UPI . `` We examined a number of solutions , and NStein 's NServer suite clearly came out on top . The combination of speed , scalability , accuracy , and flexibility was what really sold us . ''
doc_bio_tags: O O O O O O O O O B O O O O O O O O B I I O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O
extractive_keyphrases: united press international upi nstein technologies
abstractive_keyphrases: electronic archive wire service stories computer-aided indexing