Edward P Stabler, Age 68538 Brooks Ave, San Jose, CA 95125

2007010, May 10, 2007

Aug 8, 2006

11/463296

Kathleen Dahlgren - Los Angeles CA, US
Edward Stabler - Los Angeles CA, US
Karen Wallace - Altadena CA, US
Paul Deane - Lawrence Township CA, US

G06F 17/21

704010000

A natural language system searching system develops concept and string indexes of a textual database, such as a group of litigation documents, by breaking the text to be indexed into sentences, words, dates, names and places in a reader, identifying phrases in a phrase parser, recovering word stems in a morphology module and determining the sense of potentially ambiguous words in a sense selector, all in accordance with words and concepts (word senses) stored in lexicon database -. A query may then be processed by the reader, phrase parser, morphology module, and sense selector to provide a text meaning output which can be compared with the concept and string indexes to identify, retrieve and display documents and/or portions of documents related to the query. A lexicon enhancer adds vocabulary semi-automatically.

5794050, Aug 11, 1998

Oct 2, 1997

8/943069

Kathleen Dahlgren - Los Angeles CA
Edward Stabler - Los Angeles CA

Intelligent Text Processing, Inc. - Santa Monica CA

G06F 945

395708

The present invention interprets natural language input using common sense reasoning. The invention avoids the combinatorial explosion that has occurred in other natural language understanding systems. The invention uses modules for parsing, disambiguation, formal semantics, anaphora resolution, and coherence, and a naive semantic lexicon. The naive semantic lexicon is consulted by the parsing, disambiguation, formal semantics, anaphora resolution, and coherence modules to determine whether an interpretation alternative is plausible based on the world knowledge contained in the naive semantic lexicon. The parsing module employs both a top-down and bottom-up parsing strategy. The parsing module consults the naive semantic lexicon to build a structure from natural language input that has both semantic and pragmatic plausibility. The invention uses a psychologically-motivated naive semantic ontology that provides a means for classifying concepts. The lexicon relates word senses to the ontological concepts, contains word sense-specific common sense knowledge, and connects syntactic information with the meaning of each word sense.