Relying on Discourse Analysis to Manage Dialogues for a Chatbot

Dr. Boris Galitsky, Oracle Mobile Cloud

Oracle will provide food and offer $500 Credit for anyone who attends and sign up for the Cloud trial on this ACM meetup.

Agenda

6:30 Doors Open, Snack & Networking
7:00 Presentation
*** Please arrive by 7:00 PM due to Security ***

Event Details

Chatbots are becoming fairly popular, however, open-source chatbot systems are lagging behind. We introduce a platform for transactional and question-answering chatbot based on machine learning and linguistic analysis of OpenNLP for search engineers and generalists. We will learn how to design a dialogue manager for a given domain as well as how to populate a chatbot with knowledge. The audience will learn how to apply statistical and inductive machine learning to syntactic and rhetoric parsing data. A special focus will be on how to leverage discourse analysis.

We will assume that the audience has a basic knowledge of deep learning and machine learning concepts, such as loss function, model training, model inference, and feed-forward conv. neural networks.

Speaker Bio
Dr. Boris Galitsky contributed linguistic and machine learning technologies to Silicon Valley startups for last 25 years, as well as eBay and Oracle, where he is currently an architect of Intelligent Bots project. An author of two computer science books and 150+ publications, he is now working on a book "Developing Enterprise Chatbots" to be published by Springer in 2019. Boris is Apache committer to OpenNLP where he created OpenNLP. Similarity component which is a basis for chatbot development.

https://github.com/bgalitsky