Natural language processing system for semantic vector representation which accounts for lexical ambiguity
AssigneeSyracuse University
InventorsElizabeth D. Liddy, Woojin Paik, Edmund Szu-li Yu
Life of this patent
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AssigneeSyracuse University
InventorsElizabeth D. Liddy, Woojin Paik, Edmund Szu-li Yu
Estimating the term…
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 from a lexical database and the subject code(s) for each word in the text is looked up and assigned from the database. The database may be a dictionary or other word resource which has a semantic classification scheme as designators of subject domains. Various meanings or senses of a word may have assigned thereto multiple, different subject codes and psycholinguistically justified sense meaning disambiguation is used to select the most appropriate subject field code. Preferably, an ordered set of sentence level heuristics is used which is based on the statistical probability or likelihood of one of the plurality of codes being the most appropriate one of the plurality. The subject codes produce a weighted, fixed-length vector (regardless of the length of the document) which represents the semantic content thereof and may be used for various purposes such as information retrieval, categorization of texts, machine translation, document detection, question answering, and generally for extracting knowledge from the document. The system has particular utility in classifying documents by their general subject matter and retrieving documents relevant to a query.
A method of generating a subject field code vector representation of a document which comprises the steps of assigning subject codes to each of the words of the document which codes express the semantic content of the document, said codes corresponding to the meanings of each of said words in accordance with the various senses thereof;
Apparatus for generating a subject field code vector representation of a document which comprises means for assigning subject codes to each of the words of the document which codes express the semantic content of the document, said codes corresponding to the meanings of each of said words in accordance with the various senses thereof;
A natural language processing system comprising:
An apparatus for generating a vector representation of a document having on or more sentences comprising:
Dependencies are inferred from the claim text.