4 ms·
I very much disagree. There are use case such as weather reporting, electronic medical report summarisation, etc. That make more sense as a textual representati
by Saad_M 6y ago
I very much disagree. There are use case such as weather reporting, electronic medical report summarisation, etc. That make more sense as a textual representation than bundles of graphs and tables. In fact textual summarisation has been shown to lead to better decision making[1].
Good data-to-text NLG applications not only summarise data but they also can provides insight into causal relations of why events occurred by leveraging domain knowledge.
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656014/ https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2656014/
- is_true 6y agoI agree with you Saad. I worded that comment poorly. There are some use cases that are gonna be used to keep people reading a lot of algorithmical gibberish for no reason other than increasing revenue, for example sports articles. I think NLG is really interesting, the problem is that there are incentives to create long form content that doesn't add any value to readers.