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2. Natural language processing - Wikipedia

   en.wikipedia.org/wiki/Natural_language_processing

   Natural language processing ( NLP) is an interdisciplinary subfield of computer science and information retrieval. It is primarily concerned with giving computers the ability to support and manipulate human language. It involves processing natural language datasets, such as text corpora or speech corpora, using either rule-based or ...

3. Neuro-linguistic programming - Wikipedia

   en.wikipedia.org/wiki/Neuro-linguistic_programming

   Neuro-linguistic programming (NLP) is a pseudoscientific approach to communication, personal development and psychotherapy, that first appeared in Richard Bandler and John Grinder's 1975 book The Structure of Magic I. NLP asserts that there is a connection between neurological processes, language and acquired behavioral patterns, and that these ...

4. BERT (language model) - Wikipedia

   en.wikipedia.org/wiki/BERT_(language_model)

   BERT (language model) Bidirectional Encoder Representations from Transformers ( BERT) is a language model based on the transformer architecture, notable for its dramatic improvement over previous state of the art models. It was introduced in October 2018 by researchers at Google. [1] [2] A 2020 literature survey concluded that "in a little over ...

5. Methods of neuro-linguistic programming - Wikipedia

   en.wikipedia.org/wiki/Methods_of_neuro...

   The original models were: Milton Erickson (hypnotherapy), Virginia Satir (family therapy), and Fritz Perls (gestalt therapy). NLP modeling methods are designed to unconsciously assimilate the tacit knowledge to learn what the master is doing of which the master is not aware. As an approach to learning it can involve modeling exceptional people.

6. Natural-language understanding - Wikipedia

   en.wikipedia.org/wiki/Natural-language_understanding

   Natural-language understanding. Natural-language understanding ( NLU) or natural-language interpretation ( NLI) [1] is a subset of natural-language processing in artificial intelligence that deals with machine reading comprehension. Natural-language understanding is considered an AI-hard problem. [2]

7. GPT-3 - Wikipedia

   en.wikipedia.org/wiki/GPT-3

   One architecture used in natural language processing (NLP) is a neural network based on a deep learning model that was introduced in 2017—the transformer architecture. There are a number of NLP systems capable of processing, mining, organizing, connecting and contrasting textual input, as well as correctly answering questions.