Abstract: Disclosed herein is a computer implemented method and system for word sense disambiguation in a natural language sentence. The natural language sentence is parsed for identifying possible parts of speech for each term and identifying possible phrase structures. Terms comprising one or more linguistic roles are identified. The possible sense combinations for the terms with linguistic roles are identified. Emergent categories are applied to identify possible valid senses for each of the terms with identified linguistic roles. Linguistic role pairs are identified from among the terms identified with linguistic roles. The correspondence functions with the correspondence function types matching the identified linguistic role pairs are identified from an emergent categories database. The pair-wise senses for each term are compared with the identified linguistic roles to identify the possible sense combinations.

Abstract: Disclosed herein is a computer implemented method and system of generating declared patterns from components of a sentence. Parts of speech in the sentence are tagged for identifying parts of speech of each word and phrase in the sentence. Sentence chunking is then performed using the identified parts of speech of each word and phrase to generate pattern units. A first dictionary and a database of equivalent pattern specification sets are then applied to identify grammatical roles and senses of the generated pattern units. A second dictionary and a conceptionary are then applied to identify an equivalent name set for each of the generated pattern units. The declared patterns are then generated for the sentence using the identified equivalent name set for each of the generated pattern units.

Abstract: Disclosed herein is a computer implemented method and system for word sense disambiguation in a natural language sentence. The natural language sentence is parsed for identifying possible parts of speech for each term and identifying possible phrase structures. Terms comprising one or more linguistic roles are identified. The possible sense combinations for the terms with linguistic roles are identified. Emergent categories are applied to identify possible valid senses for each of the terms with identified linguistic roles. Linguistic role pairs are identified from among the terms identified with linguistic roles. The correspondence functions with the correspondence function types matching the identified linguistic role pairs are identified from an emergent categories database. The pair-wise senses for each term are compared with the identified linguistic roles to identify the possible sense combinations.

Abstract: Disclosed herein is a computer implemented method and system of generating declared patterns from components of a sentence. Parts of speech in the sentence are tagged for identifying parts of speech of each word and phrase in the sentence. Sentence chunking is then performed using the identified parts of speech of each word and phrase to generate pattern units. A first dictionary and a database of equivalent pattern specification sets are then applied to identify grammatical roles and senses of the generated pattern units. A second dictionary and a conceptionary are then applied to identify an equivalent name set for each of the generated pattern units. The declared patterns are then generated for the sentence using the identified equivalent name set for each of the generated pattern units.

Abstract: A rules-based system makes use of a specification that is similar to those used in earlier systems, such as in OPS5, but does not require the computational complexity of implementations such as Rete. In some such implementations, matching of the applicable rules given a set of facts is simplified by providing preallocated storage locations for the Boolean values of the condition elements for each rule. The Boolean values are set by direct processing of each of the facts. These preallocated storage locations are arranged to allow efficient evaluation of the overall condition of each of the rules in a manner that is significantly more efficient than implementations of earlier rule-based systems.