Challenging NLG datasets and tasks
I would like neural NLG researchers to focus on more challenging datasets, and make some suggestions.
I would like neural NLG researchers to focus on more challenging datasets, and make some suggestions.
NLP in 2020 is dominated by papers which report small improvements in state-of-art. I suspect that a lot of these improvements are due to overfitting test data, not to genuine scientific advances.