Natural language processing: Difference between revisions

Revision as of 02:11, 25 June 2024

Revision as of 23:42, 28 June 2024

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:Not an NLP task proper but an extension of natural language generation and other NLP tasks is the creation of full-fledged books. The first machine-generated book was created by a rule-based system in 1984 (Racter, ''The policeman's beard is half-constructed'').<ref>{{Cite web|title=U B U W E B :: Racter|url=http://www.ubu.com/historical/racter/index.html|access-date=2020-08-17|website=www.ubu.com}}</ref> The first published work by a neural network was published in 2018, ''[[1 the Road]]'', marketed as a novel, contains sixty million words. Both these systems are basically elaborate but non-sensical (semantics-free) [[language model]]s. The first machine-generated science book was published in 2019 (Beta Writer, ''Lithium-Ion Batteries'', Springer, Cham).<ref>{{Cite book|last=Writer|first=Beta|date=2019|title=Lithium-Ion Batteries|language=en-gb|doi=10.1007/978-3-030-16800-1|isbn=978-3-030-16799-8|s2cid=155818532}}</ref> Unlike ''Racter'' and ''1 the Road'', this is grounded on factual knowledge and based on text summarization.

; [[Document AI]]

:A Document AI platform sits on top of the NLP technology enabling users with no prior experience of artificial intelligence, machine learning or NLP to quickly train a computer to extract the specific data they need from different document types. NLP-powered Document AI enables non-technical teams to quickly access information hidden in documents, for example, lawyers, business analysts and accountants.<ref>{{Cite web|title=Document Understanding AI on Google Cloud (Cloud Next '19) – YouTube|url=https://www.youtube.com/watch?v=7dtl650D0y0| archive-url=https://ghostarchive.org/varchive/youtube/20211030/7dtl650D0y0| archive-date=2021-10-30|access-date=2021-01-11|website=www.youtube.com| date=11 April 2019 }}{{cbignore}}</ref>

; [[Dialogue system|Dialogue management]]

:Computer systems intended to converse with a human.