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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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Care Needed in Analytics and Data Science!

Oct 24, 2019Oct 24, 2019 ehudreiterLeave a comment

It can be very exciting to apply powerful analytics and ML techniques to analyse data sets, but we need to be careful, otherwise we will make mistakes.

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Accuracy, Fluency, and Utility

Oct 8, 2019Oct 8, 2019 ehudreiter6 Comments

Texts produced by NLG systems can be evaluated in terms of accuracy (content is correct), fluency (text is readable), and utility (text is useful). I discuss these three “dimensions” of NLG evaluation.

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Generated Texts Must Be Accurate!

Sep 26, 2019Sep 26, 2019 ehudreiter12 Comments

I’ve been shocked by the fact that many neural NLG researchers dont seem to care that their systems produce texts which contain many factual mistakes and hallucinations. NLG users expect accurate texts, and will not use systems which produce inaccurate texts, not matter how well the texts are written,

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The Brexit Mess

Sep 11, 2019Sep 12, 2019 ehudreiterLeave a comment

I am getting so fed up with UK politics that I will break my “no politics” rule in this blog and express my frustration with the Brexit mess and the way politicians have handled it.

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I’m Impressed by Capetown Uni’s Diversity

Aug 30, 2019 ehudreiterLeave a comment

I’m impressed by the diversity of NLG researchers at Capetown, from a gender, race, and disability perspective. An inspiration the rest of us!

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ML is Used More if it Does Not Limit Control

Aug 15, 2019 ehudreiterLeave a comment

When we try to use ML in commercial NLG contexts, one of the challenges is that NLG developers want to be able to customise, configure, and control their systems. So we need ML approaches which do not stop devs from configuring things they are likely to want to change.

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Do We Encourage Researchers to Use Inappropriate Data Sets?

Aug 1, 2019 ehudreiter17 Comments

I’m beginning to think that in some ways the NLP community *encourages* researchers to use poor-quality or otherwise inappropriate data sets. Which is a truly depressing thought…

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NLG and Explainable AI

Jul 19, 2019Jul 22, 2019 ehudreiter2 Comments

Some thoughts on key NLG challenges in explainable AI: evaluation, conceptual alignment, narrative. Comments are welcome!

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Why isnt Research Software such as BabyTalk Used?

Jul 8, 2019Jul 8, 2019 ehudreiter2 Comments

Most research software does not enter everyday operational use. In part because research projects usually do not worry about issues such as maintainability, regulatory approval, and change management, which are essential to the long-term success of commercial software.

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What Makes a Good Narrative?

Jun 24, 2019 ehudreiter4 Comments

Some thoughts on the properties texts need to have in order to be good non-fictional narratives, and speculations on how we might generate such texts.

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