Response to Goldberg’s Blog on Deep Learning for NLG
My response to Goldberg’s “adversarial review” of some research on using deep learning in NLG
My response to Goldberg’s “adversarial review” of some research on using deep learning in NLG
I’m planning to do a systematic review of the validity of BLEU, and am very keen to get comments and suggestions on study design from others!
A short travelogue about a holiday cycling trip I did in May 2017 (nothing to do with NLG!)
I’m looking for a PhD student to work on Advanced Data Storytelling!
Some explanation and advice about regression to mean, which is a statistical phenomena that can impact NLG evaluations.
People who use corpora to build NLG systems need to understand what is in the corpora. The widely used Weathergov corpus, for example, probably contains computer-generated texts rather than human-written texts. So learning from it is essentially reverse-engineering a rule-based NLG system.
I am really dubious about evaluations based on BLEU and other metrics. I explain why, and also give advice on best practice for people who are committed to using metrics
Advice on how to evaluate an NLG system by getting people to use it in the real world, and then measuring how effective the system was.
I’ve just finished delivering a commercial training course, it was a very different (and in many ways better) experience than the academic teaching I’ve done for decades
Why isnt there more open-source NLG software, and what can be done to encourage more open-source NLG?