Difference between revisions of "Natural Language Generation (NLG)"
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* [http://arxiv.org/ftp/arxiv/papers/1510/1510.04420.pdf Narrative Science Systems: A Review | P. Sarao, P. Mittal, R. Kaur] | * [http://arxiv.org/ftp/arxiv/papers/1510/1510.04420.pdf Narrative Science Systems: A Review | P. Sarao, P. Mittal, R. Kaur] | ||
* [[Generative Pre-trained Transformer-2 (GPT-2)]] | * [[Generative Pre-trained Transformer-2 (GPT-2)]] | ||
| + | * [http://www.e-spirit.com/us/blog/natural_language_generation_the_future_of_content_management.html Natural Language Generation: The Future of Content Management | Heidi Unruh - e-Sprint] | ||
* Companies: | * Companies: | ||
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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. [ | + | 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. [http://en.wikipedia.org/wiki/Natural-language_generation Wikipedia] |
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| + | http://www.e-spirit.com/images/blog/shared-blog-images/nlg-diagram.png | ||
[http://www.mediachange.ch/media//pdf/publications/MAPPING_THE_FIELD_OF_ALGORITHMIC_JOURNALISM_DoerrK.pdf Mapping the Field of Algorithmic Journalism | Konstantin N. Dörr] | [http://www.mediachange.ch/media//pdf/publications/MAPPING_THE_FIELD_OF_ALGORITHMIC_JOURNALISM_DoerrK.pdf Mapping the Field of Algorithmic Journalism | Konstantin N. Dörr] | ||
Revision as of 16:11, 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)
- Natural Language Generation: The Future of Content Management | Heidi Unruh - e-Sprint
- Companies:
- Abodit Natural Language Engine for .NET
- Arria
- Article Forge
- Automated Insights Wordsmith
- AX Semantics
- Digital Reasoning
- EY Ernst & Young Global Limited
- IBM Cognos Analytics
- Labsense
- Linguastat
- Marlabs mAdvisor
- Microsoft Semantic Machines
- Narrative Science Quill
- OnlyBoth
- Outlier
- PhraseTech
- Retresco
- Salesforce Einstein Analytics platform
- SAP Analytics Cloud
- Specifio
- Syllabs
- textengine.io
- Textio
- vPhrase Phrazor
- 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
