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ADA247 389Natural Language, Knowledge Representation, and Logical Form James F. AllenTechnical Report 367 January 1991UNIVERSITY ROCHESTER COMPUTER SCIENCENatural Language, Knowledge Representation,
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Identify the key entities and relationships in the given text or dataset.
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Map the entities and relationships to a structured ontology or knowledge graph.
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Use tools like semantic parsers or NLP techniques to extract relevant information.
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Natural language knowledge representation is a way to encode information in a format that can be understood and processed by computers, using natural language concepts.
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Natural language knowledge representation can be filled out by providing detailed information about linguistic patterns, semantic structures, and knowledge bases used in natural language processing.
The purpose of natural language knowledge representation is to enable computers to understand and manipulate natural language data in a way that mimics human cognitive abilities.
Information such as language grammar rules, semantic networks, ontologies, and knowledge graphs must be reported on natural language knowledge representation.
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