Difference between revisions of "Natural Language Generation (NLG)"
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| − | ** [http:// | + | ** [http://nlp.abodit.com/ Abodit Natural Language Engine for .NET] |
| + | ** [http://www.arria.com/nlg-studio-google-landing-a/ Arria] | ||
| + | ** [http://www.articleforge.com/ Article Forge] | ||
** [http://automatedinsights.com/ Automated Insights] [http://automatedinsights.com/wordsmith/ Wordsmith] | ** [http://automatedinsights.com/ Automated Insights] [http://automatedinsights.com/wordsmith/ Wordsmith] | ||
| − | ** [http://www. | + | ** [http://www.ax-semantics.com/en/home.html AX Semantics] |
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** [http://digitalreasoning.com/technology/ Digital Reasoning] | ** [http://digitalreasoning.com/technology/ Digital Reasoning] | ||
** [http://www.ey.com/en_gl EY] Ernst & Young Global Limited | ** [http://www.ey.com/en_gl EY] Ernst & Young Global Limited | ||
| − | ** [http:// | + | ** [http://www.lab-sense.io/ Labsense] |
| + | ** [http://www.linguastat.com/ Linguastat] | ||
| + | ** [http://narrativescience.com/what-is-nlg/ Narrative Science] [http://narrativescience.com/products/quill/ Quill] | ||
| + | ** [http://www.onlyboth.com/ OnlyBoth] | ||
| + | ** [http://outlier.ai/automated-business-analysis Outlier] | ||
** [http://www.phrasetech.com/ PhraseTech] | ** [http://www.phrasetech.com/ PhraseTech] | ||
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** [http://www.retresco.de/en/ Retresco] | ** [http://www.retresco.de/en/ Retresco] | ||
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** [http://www.syllabs.com/en/ Syllabs] | ** [http://www.syllabs.com/en/ Syllabs] | ||
| − | ** [http://www. | + | ** [http://www.textengine.io/en-gb/ textengine.io] |
** [http://textio.com/ Textio] augmented writing | ** [http://textio.com/ Textio] augmented writing | ||
| − | ** [http:// | + | ** [http://yseop.com/ yseop] |
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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. [https://en.wikipedia.org/wiki/Natural-language_generation Wikipedia] | 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. [https://en.wikipedia.org/wiki/Natural-language_generation Wikipedia] | ||
Revision as of 15:11, 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:
- Abodit Natural Language Engine for .NET
- Arria
- Article Forge
- Automated Insights Wordsmith
- AX Semantics
- Digital Reasoning
- EY Ernst & Young Global Limited
- Labsense
- Linguastat
- Narrative Science Quill
- OnlyBoth
- Outlier
- PhraseTech
- Retresco
- Syllabs
- textengine.io
- Textio augmented writing
- yseop
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
