Integrating Web Resources and Lexicons into a Natural Language Query System

The START system responds to natural language queries with answers in text, pictures, and other media. START's sentence-level natural language parsing relies on a number of mechanisms to help it process the huge, diverse resources available on the World Wide Web. Blitz, a hybrid heuristicand corpus-based natural language preprocessor, enables START to integrate a large and ever-changing lexicon of proper names, by using heuristic rules and precompiled tables of symbols to preprocess various highly regular and fixed expressions into lexical tokens. LaMeTH, a contentbased system for extracting information from HTML documents, assists START by providing a uniform method of accessing information on the Web in real time. These mechanisms have considerably improved START's ability to analyze real-world sentences and answer queries through expansion of its lexicon and integration of Web resources.

• Type: Conference
• Year: 1999
• Where: ICMCS
• Authors: Boris Katz, Deniz Yuret, Jimmy J. Lin, Sue Felshin, Rebecca Schulman, Adnan Ilik, Ali Ibrahim, Philip Osafo-Kwaako
• Keywords: ICMCS 1999, Language Parsing Relies, Multimedia, Natural Language, Natural Language Queries