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Ehud's thoughts and observations about Natural Language Generation

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Tag: lexical choice

building NLG systems

Difficult Words for Neural NLG Systems

Aug 30, 2021Aug 30, 2021 ehudreiter1 Comment

We’ve just completed a shared task on evaluating accuracy of NLG texts. This was really interesting, and amongst other things showed that current neural data-to-text systems struggle to learn how to use some words which have clear but relatively complex definitions.

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Amateurs focus on models; professionals focus on data

Jan 14, 2020 ehudreiter1 Comment

There is a military saying that “amateurs discuss tactics, professionals discuss logistics”. Similarly I think AI professionals should focus on data more than models. I suggest four simple initial questions to ask about your data if you want to build an ML system.

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NLG and Explainable AI

Jul 19, 2019Jul 22, 2019 ehudreiter1 Comment

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

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Lexical Choice Needs Machine Learning!

Mar 19, 2018 ehudreiter7 Comments

Lexical choice is an area of NLG which really needs machine-learning and data-based techniques.

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