About: Natural-language understanding

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Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. There is considerable commercial interest in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis.

Attributes	Values
rdfs:label	Natural-language understanding (en)
rdfs:comment	Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. There is considerable commercial interest in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis. (en)
dbp:wikiPageUsesTemplate	dbt:Reflist dbt:Short_description dbt:Natural_Language_Processing
Subject	Artificial intelligence Natural language processing
prov:wasDerivedFrom	http://en.wikipedia.org/wiki/Natural-language_understanding?oldid=1054625677&ns=0
Wikipage page ID	98778 (xsd:integer)
page length (characters) of wiki page	16809 (xsd:nonNegativeInteger)
Wikipage revision ID	1054625677 (xsd:integer)
Link from a Wikipage to another Wikipage	Machine translation Prolog Wendy Lehnert William Aaron Woods AI-complete Artificial intelligence Andy Curtis Augmented transition network Automated reasoning Semantic parsing Semantics Voice user interface Yale University Artificial intelligence Janet L. Kolodner Joseph Weizenbaum Natural language processing Discourse representation theory Document classification History of natural language processing Naive semantics WolframAlpha Wolfram Mathematica WordNet DBase Daniel G. Bobrow Deductive reasoning Deep linguistic processing Lisp (programming language) Phrase structure rules Pragmatics Robert Wilensky Robat Terry Winograd Computational linguistics Computational semantics Conceptual dependency theory Content analysis Context (language use) ELIZA John Ball (cognitive scientist) John McCarthy (computer scientist) Natural-language programming Natural-language user interface NortonLifeLock Ontology (information science) Open information extraction Parsing Part-of-speech tagging SHRDLU SRI International STUDENT (computer program) Speech recognition Database Finite-state machine First-order logic Gary Hendrix Google Grammar Computer graphics Sydney Lamb Inference Information extraction John Searle Watson (computer) Wayne Ratliff Stanford University List of Star Trek characters Stochastic semantic analysis Larry Page Lexicon Massachusetts Institute of Technology Natural language processing Question answering Reading comprehension Roger Schank Siri
has abstract	Natural-language understanding (NLU) or natural-language interpretation (NLI) is a subtopic of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. There is considerable commercial interest in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis. (en)
foaf:isPrimaryTopicOf	http://en.wikipedia.org/wiki/Natural-language_understanding
is Wikipage redirect of	Machine comprehension Machine reading comprehension Machine reading Automatic text understanding Automatic understanding of natural language Computer understanding of natural language Automated reading comprehension Natural language understanding Language understanding Understanding natural languages

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