MindMeld is the only Conversational AI platform available today which supports custom knowledge base creation. Nearly all production conversational applications rely on a comprehensive knowlege base to enhance intelligence and utility. MindMeld provides end-to-end functionality including advanced NLP, QA, and DM, all three of which are required for production applications today. While conversational AI platforms available today typically provide natural language processing (NLP) support, few assist with question answering (QA) or dialogue management (DM). In contrast to machine learning toolkits which offer algorithms but little data, MindMeld provides not only state-of-the-art algorithms, but also functionality which streamlines the collection and management of large sets of custom training data. Unlike GUI-based tools typically too rigid to accommodate the functionality required by many applications, MindMeld provides powerful command-line utilities with the flexibility to accommodate nearly any product requirements. This has been achieved by following the architectural philosophy whose guiding principles are expressed in the table below. Over the course of these production deployments, MindMeld has evolved to be ideally suited for building production-quality, large-vocabulary language understanding capabilities for any custom application domain. MindMeld has been used for applications in dozens of different domains by some of the largest global organizations. Step-by-Step Guide to Active Learning with Log Data in MindMeld.Working with the Text Preparation Pipeline.Working with the Knowledge Base and Question Answerer.Working with the Natural Language Processor.Step 9: Optimize Question Answering Performance.Step 7: Train the Natural Language Processing Classifiers.Step 6: Generate Representative Training Data.Step 4: Define the Dialogue State Handlers.Step 3: Define the Domain, Intent, Entity, and Role Hierarchy.Step 2: Script Your Ideal Dialogue Interactions.Building a Conversational Interface in 10 Steps.Anatomy of a Conversational AI Interaction.Different Approaches for Building Conversational Applications.
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Introduction to Conversational Applications.