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Elizabeth D Liddy, Woojin Paik, Mary E McKenna, Michael L Weiner, Edmund S Yu, Theodore G Diamond, Bhaskaran Balakrishnan, David L Snyder: User interface and other enhancements for natural language information retrieval system and method. Textwise, Townsend and Townsend and Crew, February 15, 2000: US06026388 (821 worldwide citation)

Techniques for generating sophisticated representations of the contents of both queries and documents in a retrieval system by using natural language processing (NLP) techniques to represent, index, and retrieve texts at the multiple levels (e.g., the morphological, lexical, syntactic, semantic, dis ...


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Elizabeth D Liddy, Woojin Paik, Mary E McKenna, Ming Li: Natural language information retrieval system and method. Syracuse University, Townsend and Townsend and Crew, October 5, 1999: US05963940 (631 worldwide citation)

Techniques for generating sophisticated representations of the contents of both queries and documents in a retrieval system by using natural language processing (NLP) techniques to represent, index, and retrieve texts at the multiple levels (e.g., the morphological, lexical, syntactic, semantic, dis ...


3
Elizabeth D Liddy, Woojin Paik, Edmund S Yu, Ming Li: Multilingual document retrieval system and method using semantic vector matching. Syracuse University, Townsend and Townsend and Crew, December 21, 1999: US06006221 (567 worldwide citation)

A document retrieval system where a user can enter a query, including a natural language query, in a desired one of a plurality of supported languages, and retrieve documents from a database that includes documents in at least one other language of the plurality of supported languages. The user need ...


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Woojin Paik, Elizabeth D Liddy, Jennifer Heverin Liddy, Ian Harcourt Niles, Eileen E Allen: Information extraction system and method using concept relation concept (CRC) triples. Townsend and Townsend and Crew, June 13, 2000: US06076088 (450 worldwide citation)

An information extraction system that allows users to ask questions about documents in a database, and responds to queries by returning possibly relevant information which is extracted from the documents. The system is domain-independent, and automatically builds its own subject knowledge base. It c ...


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Elizabeth D Liddy, Woojin Paik, Edmund Szu li Yu: Natural language processing system for semantic vector representation which accounts for lexical ambiguity. The Syracuse University, K J Lukacher, M Lukacher, February 16, 1999: US05873056 (378 worldwide citation)

A natural language processing system uses unformatted naturally occurring text and generates a subject vector representation of the text, which may be an entire document or a part thereof such as its title, a paragraph, clause, or a sentence therein. The subject codes which are used are obtained fro ...


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Woojin Paik, Elizabeth D Liddy, Jennifer Heverin Liddy, Ian Harcourt Niles, Eileen E Allen: Information extraction system and method using concept-relation-concept (CRC) triples. Textwise, Townsend and Townsend and Crew, July 17, 2001: US06263335 (260 worldwide citation)

An information extraction system that allows users to ask questions about documents in a database, and responds to queries by returning possibly relevant information which is extracted from the documents. The system is domain-independent, and automatically builds its own subject knowledge base. It c ...