Messaging apps have become more popular ways for people to communicate than social networks or phone calls. As a result, chatbots are growing in usefulness, especially for customer service tasks. There are different types of chatbots, from task-oriented bots to predictive, data-driven bots. Current chatbots have capabilities for intent recognition, entity recognition, and sentiment analysis using machine learning, but still face challenges with ambiguity. Future chatbots may be able to pass the Turing Test by more closely resembling human conversations. Oracle's Intelligent Bot platform includes components for natural language processing, customization of bot flows, and integration with backend systems.
Bots are transforming the way mobile users interact with businesses and LoB Systems by putting app features in conversational UI’s and eliminating ‘App fatigue’
What does the word “they” refer to here — the councilmen or the demonstrators? What if instead of “feared” we wrote “advocated?” This changes what we understand by the word “they.” Why? It is clear to us that councilmen are more likely to fear violence, whereas demonstrators are more likely to advocate it. This information, which is vital for disambiguating the pronoun “they,” is not in the text itself, which makes these problems extremely difficult for AI programs.
The first ever Winograd Schema Challenge was held last July, and the winning algorithm achieved a score on the challenge that was “a bit better than random.”