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I would be very interested in integrating this into an upcoming art production.

How would one go about finding engineers that can produce functionality similar to this, but recommending sentences from select news articles instead?

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You might need something like salience ranking. And you don't need a heavy modern transformer model to do it. You can get by with yesterday's algorithms. This is LexRank. I think it's interesting because it uses graph-based centrality ranking, in a similar way that PageRank did.

Edit: Or create sentence embeddings, and cluster them or rank their distance against an input sentence, or something.

https://www.cs.memphis.edu/~vrus/teaching/nlp/papers/summari...

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