Zero-Shot Style Transfer in Text Using Recurrent Neural Networks

This is an article on text style transfer. There is an example code to check the results.

Paper: https://arxiv.org/pdf/1711.04731.pdf
Code: https://github.com/keithecarlson/Zero-Shot-Style-Transfer

#NLP #seq2seq #dl #rnn

🔥Human-like chatbots from Google: Towards a Human-like Open-Domain Chatbot.

TLDR: humanity is one huge step closer to a chat-bot, which can chat about anything and has great chance of success, passing #TuringTest

What does it mean: As an example, soon you will have to be extra-cautious chatting in #dating apps, because there will be more chat-bots, who can seem humane.
This also means that there will some positive and productive applications too: more sophisticated selling operators, on-demand psychological support, you name it.

It might be surprising, but #seq2seq still works. Over 5+ years of working on neural conversational models, general progress is a fine-tune of basic approach. It is a proof that much can be still discovered, along with room for new completely different approaches.

«Perplexity is all a chatbot needs ;)» (с) Quoc Le

Blog post: https://ai.googleblog.com/2020/01/towards-conversational-agent-that-can.html
Paper: https://arxiv.org/abs/2001.09977
Demo conversations: https://github.com/google-research/google-research/tree/master/meena

#NLP #NLU #ChatBots #google #googleai