T-NLG "Better natural language generation can be transformational for a variety of applications, such as assisting authors with composing their content, saving one time by summarizing a long piece of text with digital assistants" @MSFTResearch #AI #NLP microsoft.com/en-us/research…

An example election summary produced by the BBC system. This story was created using some automation. bbc.com/news/politics/consti…

The future of writing is assisted with AI. @OpenAI's GPT-2 and @Google's smart reply & smart compose is letting the gene out of the bottle. This NLG/NLP/NLU gene will not go back to its bottle.

Building Smart Reply for Chat youtube.com/watch?v=UM56FDjS…

"Word Sense Disambiguation (WSD) is a longstanding but open problem in #NLP. To overcome this, we propose Extended WSD Incorporating Sense Embeddings (EWISE), a supervised model to perform WSD by predicting over a continuous sense embedding" malllabiisc.github.io/public… #AI #ML

Whenever we enquire after the meaning of a word, we never get the thing that is meant – a permanent definition that underlies the word – but only another way of saying it. ...the dictionary is no more than a pedantic and overexacting thesaurus. aeon.co/essays/why-meaning-i… @aeonmag

Eat Pray Love NLP/ML/AI.

#ML #AI: Modelling checklist

Libel service: Hire a "libel service" to randomly defame you on the internet, so that whenever anyone says something bad about you on Twitter or Facebook, or in the comments area of some newspaper, you could just say "that's probably my libel service." reason.com/2019/06/25/what-i…

“These are all ambitious tasks still largely beyond the current technology, but with the rapid progress happening in NLP and AI, solutions may arrive sooner than we expect,”