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US 8,949,170 B2Granted
System and method for analyzing ambiguities in language for natural language processing
AssigneeZ Advanced Computing, Inc.
InventorLotfi A. Zadeh
Life of this patent
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AssigneeZ Advanced Computing, Inc.
InventorLotfi A. Zadeh
Estimating the term…
Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), large number of images (“Big Data”) analytics, machine learning, training schemes, crowd-sourcing (using experts or humans), feature space, clustering, classification, similarity measures, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (e.g. tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability (e.g., using Z-number (e.g., “About 45 minutes; Very sure”)), rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, and data compression.
A method for analyzing ambiguities in language for natural language processing, said method comprising:
A method for analyzing ambiguities in language for natural language processing, said method comprising:
A method for analyzing ambiguities in language for natural language processing, said method comprising:
Dependencies are inferred from the claim text.