Difference between revisions of "Natural Language Generation (NLG)"
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* [http://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation Using Natural Language Processing for Smart Question Generation | Aditya S -Intel AI Academy] | * [http://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation Using Natural Language Processing for Smart Question Generation | Aditya S -Intel AI Academy] | ||
* [http://medium.com/phrasee/neural-text-generation-generating-text-using-conditional-language-models-a37b69c7cd4b Neural text generation: How to generate text using conditional language models | Neil Yager] | * [http://medium.com/phrasee/neural-text-generation-generating-text-using-conditional-language-models-a37b69c7cd4b Neural text generation: How to generate text using conditional language models | Neil Yager] | ||
| − | + | * [http://arxiv.org/ftp/arxiv/papers/1510/1510.04420.pdf Narrative Science Systems: A Review | P. Sarao, P. Mittal, R. Kaur] | |
* Products: | * Products: | ||
Revision as of 12:35, 24 February 2019
Youtube search... ...Google search
- Natural Language Processing (NLP)
- The Future of Writing, With Robots | Garrett Grams
- Using Natural Language Processing for Smart Question Generation | Aditya S -Intel AI Academy
- Neural text generation: How to generate text using conditional language models | Neil Yager
- Narrative Science Systems: A Review | P. Sarao, P. Mittal, R. Kaur
- Products:
Natural-language generation (NLG) is the natural-language processing task of generating natural language from a machine-representation system such as a knowledge base or a logical form. Psycholinguists prefer the term language production when such formal representations are interpreted as models for mental representations. It could be said an NLG system is like a translator that converts data into a natural-language representation. However, the methods to produce the final language are different from those of a compiler due to the inherent expressivity of natural languages. ...NLG may be viewed as the opposite of natural-language understanding: whereas in natural-language understanding, the system needs to disambiguate the input sentence to produce the machine representation language, in NLG the system needs to make decisions about how to put a concept into words. Wikipedia
Mapping the Field of Algorithmic Journalism | Konstantin N. Dörr
