Google develops AI `` Meena '' that can talk normally like a human
AI that can talk to people like Apple's
[2001.09977] Towards a Human-like Open-Domain Chatbot
Google AI Blog: Towards a Conversational Agent that Can Chat About… Anything
Meena is Google's attempt at making true conversational AI | VentureBeat
The AI 'Meena' developed by Google uses ' Evolved Transformer seq2seq ', which is one of the methods to generate sentences by neural networks . The input conversation is encoded into a number, which is converted into a conversation by 13 decoders. By implementing many decoders, the quality of conversation has been raised. A 341GB text file containing conversations collected from social media was used for learning.
Along with the development of Meena this time, Google has designed a test 'Sensibleness and Specificity Average (SSA)' to know the performance of chatbots 'speaking normally', and Meena was tested by SSA. . In SSA, humans actually talk with chatbots and evaluate 'whether the story is reasonable' and 'whether the answer is limited'. 'Limited answer' here is not an answer that applies to any topic, such as saying 'I also like tennis' to 'I like tennis', but 'I am also.
The following are the results of implementing SSA on people, Meena, Mitsuku , Cleverbot , DialoGPT , and Xiaoice . You can see that Meena performs better than other chatbots and is closer to human results.
In addition, the actual conversation content is published as a text file on GitHub, and you can read the conversation content of people, Meena, Mitsuku, Xiaoice.
google-research / meena at master · google-research / google-research · GitHub
This is part of the conversation between Mitsuku and people. In response to Mitsuku's answer to 'I just mentioned it,' people continue to say 'I don't know what that story is,' and I don't know the point.
On the other hand, this is what Meena and people talked about. Meena responded to the question 'What do you think is the title of the dissertation?', 'How to breathe underwater', and conversation without discomfort continues.
In this AI development, Google focused on the rationality of the story and the limitedness of the answer, but in the future development also emphasize individuality and factuality. In addition, there is a study that AI learns female discrimination and racism from human language , and it is said that it will also study the safety and prejudice of chatbots.
in Software, Posted by log1n_yi