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The methods of neuro-linguistic programming are the specific techniques used to perform and teach neuro-linguistic programming, [1] [2] which teaches that people are only able to directly perceive a small part of the world using their conscious awareness, and that this view of the world is filtered by experience, beliefs, values, assumptions, and biological sensory systems.
Natural-language programming (NLP) is an ontology-assisted way of programming in terms of natural-language sentences, e.g. English. [1] A structured document with Content, sections and subsections for explanations of sentences forms a NLP document, which is actually a computer program. Natural language programming is not to be mixed up with ...
According to Stollznow, "NLP also involves fringe discourse analysis and 'practical' guidelines for 'improved' communication. For example, one text asserts 'when you adopt the "but" word, people will remember what you said afterwards. With the "and" word, people remember what you said before and after.'" [15]
Hence why Humanloop allows people to tweak the data. If the NLP gold rush is indeed on its way, expect a whole bunch of other startups to appear soon. Show comments
Natural language processing (NLP) is a subfield of computer science and especially artificial intelligence.It is primarily concerned with providing computers with the ability to process data encoded in natural language and is thus closely related to information retrieval, knowledge representation and computational linguistics, a subfield of linguistics.
NLP doesn't say people are normally mis-programmed - it says the brain is programmed, and "the norm" is that good programming to come from good input, and bad programming to come from bad input. etc. "Like Scientology, rebirthing, and other alternative therapies" .
For example, when confronted with a question of the form 'which U.S. state has the highest income tax?', conventional search engines ignore the question and instead search on the keywords 'state', 'income' and 'tax'. Natural-language search, on the other hand, attempts to use natural-language processing to understand the nature of the question ...
The images above demonstrate an example of how an artificial neural network might make a false positive result in object detection. The input image is a simplified example of the training phase, using multiple images that are known to depict starfish and sea urchins, respectively. The starfish match with a ringed texture and a star outline ...