WYCH Debater: A modular System for Argument Mining, Speech Formation and Debate rebuttals based on Artificial Neural Networks

Abstract

AI Debating system the first perceptive system which is able to debate humans on complex topics. It depends on three pioneering capabilities. The primary one is speech writing based on provided information and delivery of the speech, or the ability to synthesize an entire speech automatically, an article that is reminiscent of an opinion, and its ability to deliver it persuasively. The second is a comprehension of what it listens: the ability to understand a long spontaneous speech made by the opponent human to generate a meaningful rebuttal. The third is the system's ability to represent and circumvent human dilemmas and form principled arguments made by humans in various debates to determine what constitutes an effective negation. Then, follow a statistical approach to determine when an automatically generated negation can plausibly be used on a unique knowledge graph. By effectively integrating these core capabilities, it can conduct an articulate debate with human debaters.