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Ehud's thoughts and observations about Natural Language Generation

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Category: building NLG systens

building NLG systens

Texts should be adapted to users

Apr 1, 2021Apr 1, 2021 ehudreiter1 Comment

If we want to use NLG to communicate information to all sorts of different people, then it would be really helpful if the NLG system can adapt its language to the reading skill, domain knowledge, emotional state, etc of the user. I think this kind of user adaptation is essential to achieving my vision of using NLG to humanise data.

building NLG systens

NLG Systems Must be Customisable

Feb 17, 2021Feb 17, 2021 ehudreiterLeave a comment

Users want to be able to modify and customise NLG systems on their own, without needing to ask developers to make changes. Academic researchers mostly ignore this, which is a shame, since there are a lot of interesting and important challenges.

building NLG systens

Real-World Neural NLG

Dec 21, 2020 ehudreiter4 Comments

I was very impressed by a recent paper from a team at Facebook about a production-ready end-to-end neural NLG system. Especially interesting to me was the “engineering” approach to key issues such as accuracy, data collection, and latency.

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