This document announces a global chatbots hackathon taking place on April 23-24, 2016 in Moscow. It provides information on how to register for the event, an overview of the schedule including presentations, meals, and prize giving. Details are provided on the hosting organization Webinar.ru, which offers an API platform and webinar services. The hackathon aims to explore building chatbots using various messaging APIs and will award prizes including internships and electronics for the winning teams.
This document announces a global chatbots hackathon taking place on April 23-24, 2016 in Moscow. It provides information on how to register for the event, an overview of the schedule including presentations, meals, and prize giving. Details are provided on the hosting organization Webinar.ru, which offers an API platform and webinar services. The hackathon aims to explore building chatbots using various messaging APIs and will award prizes including internships and electronics for the winning teams.
This document discusses various approaches to question answering systems, including rule-based systems, bag-of-words models, word embeddings, convolutional neural networks, recurrent neural networks, and main challenges. It covers natural language processing techniques, different QA standards, and provides links to resources on related topics such as word embeddings and Russian language parsing.
The document outlines the steps to develop a chatbot strategy, including understanding the brand ecosystem, creating user stories for each customer segment, designing use cases, listing necessary functionality, and creating a roadmap. It also describes how to develop chatbots by focusing on user experience, designing message flows for each use case, and double checking the design using a unique methodology. The overall process is meant to help integrate chatbots effectively into a business.
This document discusses 9 sins or mistakes of chatbot developers from the perspective of the chatbots community. It focuses on important considerations like ensuring a good user experience through focusing on the user journey and emotions, avoiding spam, being personal rather than taking a one-size-fits-all approach, and thinking about actual use cases rather than just features or functions. The overall message is about being smart and thoughtful in chatbot development.