Difference between revisions of "Natural Language Generation (NLG)"
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* [[Generative Pre-trained Transformer-2 (GPT-2)]] | * [[Generative Pre-trained Transformer-2 (GPT-2)]] | ||
| − | * Companies: | + | * [http://www.g2.com/categories/natural-language-generation-nlg Companies]: |
** [http://narrativescience.com/what-is-nlg/ Narrative Science] [http://narrativescience.com/products/quill/ Quill] | ** [http://narrativescience.com/what-is-nlg/ Narrative Science] [http://narrativescience.com/products/quill/ Quill] | ||
** [http://automatedinsights.com/ Automated Insights] [http://automatedinsights.com/wordsmith/ Wordsmith] | ** [http://automatedinsights.com/ Automated Insights] [http://automatedinsights.com/wordsmith/ Wordsmith] | ||
Revision as of 14:58, 31 December 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
- Generative Pre-trained Transformer-2 (GPT-2)
- Companies:
- Narrative Science Quill
- Automated Insights Wordsmith
- Arria
- Outlier
- yseop
- Digital Reasoning
- EY Ernst & Young Global Limited
- Abodit Natural Language Engine for .NET
- PhraseTech
- textengine.io
- OnlyBoth
- Linguastat
- Retresco
- AX Semantics
- Syllabs
- Labsense
- Textio augmented writing
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
- Artificial intelligence in healthcare: an interview with Dr Ehud Reiter | News Medical Life Sciences
- Arria NLG Engine
Augmented Analytics
Youtube search... ...Google search
- Gartner Identifies Top 10 Data and Analytics Technology Trends for 2019 | Susan Moore - Gartner
- NLP for Analytics: It's Not Just About Text | Lisa Morgan - InformationWeek
An augmented analytics engine can automatically go through a company’s data, clean it, analyze it, and convert these insights into action steps for the executives or marketers with little to no supervision from a technical person. Augmented analytics therefore can make analytics accessible to all SMB owners. Augmented Analytics Demystified | Bill Su - Medium
