Building production-quality conversational assistants is one of today's hardest Al challenges
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Today's machine learning tools are insufficient Cloud NLP Services
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The Mind Meld Conversational Al Platform
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Github
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Natural Language Processor understands the user query
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Domain Classifier assigns the user query to a pre- defined domain
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Intent Classifier determines the user intent
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Entity Recognizer detects all relevant entities in the user query
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Role Classifier assigns role labels to extracted entities
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Entity Resolver transforms each extracted entity into its canonical form
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Language Parser clusters extracted entities into meaningful entity groups
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Dialogue Manager directs the flow of the conversation
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Application Manager is the platform orchestrator
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A sample interaction with an enterprise voice assistant
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Domain Classification
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Intent Classification
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Entity Recognition
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Role Classification
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Language Parsing
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Dialogue Management & Question Answering
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Entity Resolution
Description:
Explore an open-source platform for building advanced enterprise conversational AI assistants in this 30-minute talk. Learn about Cisco's Mindmeld toolkit, which supports deep-domain knowledge bases for complex use cases. Discover the challenges of creating production-quality conversational interfaces and why current machine learning tools fall short. Delve into the components of the Mindmeld Conversational AI Platform, including the Natural Language Processor, Domain Classifier, Intent Classifier, Entity Recognizer, Role Classifier, Entity Resolver, Language Parser, Dialogue Manager, and Application Manager. Examine a sample interaction with an enterprise voice assistant, covering domain classification, intent classification, entity recognition, role classification, language parsing, dialogue management, question answering, and entity resolution.
Mindmeld - An Open-source, Deep-domain Conversational AI Toolkit