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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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Elizabeth D Liddy, Edmund Szu Li Yu: System for retrieving multimedia information from the internet using multiple evolving intelligent agents. Textwise, Kenneth J LuKacher, October 16, 2001: US06304864 (278 worldwide citation)

A system for retrieving multimedia information is provided using a computer coupled to a computer-based network, such as the Internet, and particularly the World Wide Web (WWW). The system includes a web browser, a graphic user interface enabled through the web browser to allow a user to input a que ...


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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 ...


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Elizabeth D Liddy: Techniques for controlling distribution of information from a secure domain. Technology Innovations, Townsend and Townsend and Crew, December 7, 2004: US06829613 (75 worldwide citation)

Techniques for controlling distribution of information from a secure domain by automatically detecting outgoing messages which violate security policies corresponding to the secure domain. Semantic models are constructed for one or more message categories and for the outgoing messages. The semantic ...


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Elizabeth D Liddy: Techniques for controlling distribution of information from a secure domain. Technology Innovations, Textwise, Townsend And Townsend And Crew, August 18, 2005: US20050182765-A1

Techniques for controlling distribution of information from a secure domain by automatically detecting outgoing messages which violate security policies corresponding to the secure domain. Semantic models are constructed for one or more message categories and for the outgoing messages. The semantic ...