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In this work, we use chitchat dialogue as a setting to better understand the issues raised above. In particular, we control multiple attributes of generated text and human-evaluate multiple aspects of conversational quality, in order to answer three main research questions.
In this post, which is a follow up to my ultimate web scraping guide, we will cover almost all the tools Python offers you to scrape the web. We will go from more basic to the most advanced ones, and cover the pros and cons of each.
Humans don’t start their thinking from scratch every second. As you read this essay, you understand each word based on your understanding of previous words. You don’t throw everything away and start thinking from scratch again. Your thoughts have persistence.
While machine learning today is dominated by deep neural network research, in the 1990s neural approaches were not recognized as reliable for real-world applications. Back then, researchers put their efforts into kernel methods and support vector machines (SVM).
It had been proved that every non-cooperative game had a Nash equilibrium point. Although many existing algorithms are capable of finding equilibrium points, it is still unclear what force is driving the players to them in the real world. We show that, the players' immediately and constantly pursuing profitable strategies is sufficient for the game to evolve towards equilibrium point, and meanwhile the game needs minimum information exchange among players and no mediation from beyond players.