Contextual validation of synonyms in otology driven natural language processing

A system for providing contextual validation of synonyms in ontology driven natural language processing (NLP), the system comprising:

• a memory medium comprising instructions;
• a bus coupled to the memory medium;
• and
• a processor coupled to a NLP engine via the bus that when executing the instructions causes the system to:
• determine, based on a linear sequence of symbols in electronic text, a token that identifies a linguistic unit of the electronic text, the linguistic unit comprising at least one of a word, a punctuation symbol, a number, or a letter;
• structure the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, wherein the semantic model is stored as data in memory of the at least one computing device;
• quantify a linear distance between the token and a contextual token within the user input, wherein the linear distance is a quantity of additional tokens in between the token and the contextual token;
• compare the linear distance to a pre-specified linear distance limit to a number of words;
• when the quantified linear distance is within the pre-specified linear distance limit to the number of words,
• assign a high confidence level to an annotation of the token, and
• validate the annotation based on the high confidence level, wherein the validating the annotation comprises restructuring, via at least one computing device, the semantic model to include a knowledge structure containing the contextual token, the linear distance, the pre-specified linear distance limit, and the designation of the token as a synonym of the one of the set of related permutations;
• and
• when, based on the comparing, the quantified linear distance is not within the pre-specified linear distance limit to the number of words, assign a low confidence level to the annotation.

A computer-readable storage device storing computer instructions, which when executed, enables a computer system to provide contextual validation of synonyms in ontology driven natural language processing (NLP), the computer instructions comprising:

• determine, based on a linear sequence of symbols in electronic text, a token that identifies a linguistic unit of the electronic text, the linguistic unit comprising at least one of a word, a punctuation symbol, a number, or a letter;
• structure the user input into a semantic model comprising a set of classes each containing a set of related permutations of the token, wherein the semantic model is stored as data in memory of the at least one computing device;
• quantify a linear distance between the token and a contextual token within the user input, wherein the linear distance is a quantity of additional tokens in between the token and the contextual token;
• compare the linear distance to a pre-specified linear distance limit to a number of words;
• when the quantified linear distance is within the pre-specified linear distance limit to the number of words,
• assign a high confidence level to an annotation of the token, and
• validate the annotation based on the high confidence level, wherein the validating the annotation comprises restructuring, via at least one computing device, the semantic model to include a knowledge structure containing the contextual token, the linear distance, the pre-specified linear distance limit, and the designation of the token as a synonym of the one of the set of related permutations;
• and
• when, based on the comparing, the quantified linear distance is not within the pre-specified linear distance limit to the number of words, assign a low confidence level to the annotation.