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FoG: The birth of commercial NLG
I did my Ph.D. on NLG in the late 1980s,...
By Ehud Reiter | November 16, 2022
This 22-year-old book on NLG is still relevant
Back in 2000, I wrote a book on Building Natural...
By Ehud Reiter | July 6, 2022
Humans post-editing NLG-generated narratives
There are times a natural language generation (NLG) narrative requires editing before release.
By Ehud Reiter | April 22, 2022
The Grand Challenge for NLG: Making Data Accessible to Humans
Twenty years ago, the UK Computing Research Committee asked me...
By Ehud Reiter | November 16, 2021
Why neural language models don’t work well in NLG
I am often asked about neural language models such as...
By Ehud Reiter | September 2, 2021
NLG drives consistent narratives
One of the advantages of using NLG to automate the...
By Ehud Reiter | August 4, 2021
Finding creative solutions to detect mistakes in neural-NLG narratives
There is a lot of excitement in the NLG world...
By Ehud Reiter | July 14, 2021
The Power of Words
Words can be incredibly powerful when it comes to describing...
By Ehud Reiter | February 15, 2021
Chatbots are a great way to present insights!
I am very excited about the potential of using chatbots...
By Ehud Reiter | October 20, 2020
Choosing words to clearly describe data
People often ask me which words an NLG system should...
By Ehud Reiter | July 29, 2020
NLG is different from other language technologies
Natural Language Generation (NLG) is a type of language technology,...
By Ehud Reiter | July 8, 2020
Corpus Analysis: A great way to understand what your NLG system needs to do
Practical advice on building NLG systems One of the biggest...
By Ehud Reiter | July 1, 2020
OpenAI GPT System: What does it do?
Two contrasting machine learning approaches to NLG: OpenAI GPTs and...
By Ehud Reiter | June 25, 2020