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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
Randall Jay Calistri Yeh, Wen Ruan, Clinton P Mah, Mary Louise Howatt, Mary E McKenna, Maurice J Forrester, Bo Yuan, George B Osborne III, David L Snyder: Advertisement placement method and system using semantic analysis. Textwise, McDermott Will & Emery, March 22, 2011: US07912868 (4 worldwide citation)

An advertisement placement method and system for relating an advertisement to a dataset based on a trainable semantic vector (TSV) associated with the dataset and respective semantic representations of the advertisements. The trainable semantic vector associated with the dataset is generated based o ...


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Randall Jay Calistri Yeh, Wen Ruan, Clinton P Mah, Mary Louise Howatt, Mary E McKenna, Maurice J Forrester: Advertisement placement method and system using semantic analysis. Textwise, Mcdermott Will & Emery, September 29, 2005: US20050216516-A1

An advertisement placement method and system for relating an advertisement to a dataset based on a trainable semantic vector (TSV) associated with the dataset and respective semantic representations of the advertisements. The trainable semantic vector associated with the dataset is generated based o ...