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Ehud Reiter's Blog

Ehud's thoughts about Natural Language Generation. Also see my book on NLG.

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Farewell to Richard Kittredge, pioneer in applied NLG

Apr 16, 2019 ehudreiterLeave a comment

Farewell to Richard Kittredge, who died in early April 2019. Richard was a pioneer in applied NLG, and also an inspiration to me personally.

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Skills Required to Use Different NLG Technologies

Apr 4, 2019Apr 4, 2019 ehudreiter1 Comment

An important difference between different approaches to building NLG systems is the skills needed to use these approaches to build systems. Machine learning requires the most skills, smart templating the least, and simplenlg-type programmatic approaches are in the middle.

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Bad Data Means Bad Output

Mar 20, 2019 ehudreiter6 Comments

Perhaps the most common reason for bad NLG output texts is low-quality input data. Ie, Garbage In, Garbage Out is true regardless of our technology.

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Keep Good Records of Your Experiments

Mar 7, 2019Apr 15, 2019 ehudreiter1 Comment

Someone recently asked me for details of an experiment I did 12 years ago, and it was not easy to get this information, because I had not properly archived it. Lesson: properly archive detailed information about experimental design, material, results, etc.

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Evaluation Grand Challenge: Is NLP System Good Enough for a Use Case?

Feb 21, 2019Feb 21, 2019 ehudreiterLeave a comment

I was recently asked by someone if it was possible to easily determine whether an NLP system was good enough for a specific use case. Currently this is very hard. Making it easy could be a “grand challenge” for evaluation!

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My Vision for SIGGEN

Feb 7, 2019Feb 8, 2019 ehudreiter3 Comments

I am now chair of ACL SIGGEN. I hope SIGGEN can help the NLG community by encouraging high-quality scientific research, strengthening interaction with the non-NLP world, and providing trusted unbiased information about NLG.

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Google: Please Stop Telling Lies About Me

Jan 21, 2019Jan 27, 2019 ehudreiter14 Comments

People who search for me in Google see a Google-generated box which incorrectly says that I am Israeli. Google has ignored my complaints about this; they dont seem to care about the accuracy of their content-production algorithm. Which is ethically pretty dubious!

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Does Deep Learning Prefer Readability over Accuracy?

Jan 8, 2019Feb 1, 2019 ehudreiter1 Comment

In both NLG and MT contexts, deep learning approaches can result in texts which are fluent and readable but also incorrect and misleading. This is problematical if accuracy is more important than readability, as is the case in most NLG contexts.

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New project PhilHumans: Better interaction in personal health apps

Dec 27, 2018Feb 4, 2019 ehudreiterLeave a comment

I am very happy to be involved in a new project, PhilHumans, which is exploring how AI can help users interact with personal health apps.

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Publish in Journals!

Dec 11, 2018 ehudreiter13 Comments

Many NLP (and AI) researchers focus on publishing in conferences, which I think is a shame. Publish in journals instead!

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News: I am likely to retire in summer 2026. Looking for interesting things to do afterwards.

Top Posts & Pages

  • What LLMs cannot do
  • Publish in Journals!
  • Generated Texts Must Be Accurate!
  • Benchmarks distract us from what matters
  • Do LLMs cheat on benchmarks
  • We need better LLM benchmarks
  • Is building neural NLG faster than rules NLG? No one knows, but I suspect not.
  • Google: Please Stop Telling Lies About Me
  • Do We Encourage Researchers to Use Inappropriate Data Sets?
  • We Need Robust Ways to Select Content of NLG Texts
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