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Information Access using Natural Language
Submitted by Jillian Auerbach on Fri, 04/22/2011 - 21:45
The InfoLab group at CSAIL seeks students interested in investigating and creating natural language tools for artificial intelligence. The InfoLab works on question answering, parsing, generating, and more, using both symbolic and statistical techniques. The START question answering system (http://start.csail.mit.edu) provides advanced access to information on the Web and in other databases via natural language. Introductory projects range from integrating knowledge sources to expanding automated methods to creating user interfaces and APIs. Students’ contributions will immediately affect the behavior of START as used by millions of people around the world. Knowledge of Scheme, SQL, regular expressions, and basic linguistics is helpful but not required.
Further research opportunities are available in large-scale corpus-based Question Answering, Information Retrieval, Information Extraction, and integrating language and vision processing.
Contact: Boris Katz (email@example.com)