Declarative, Concise Implementation of a Rule-based Dialog System in F#
source link: https://skillsmatter.com/skillscasts/14875-declarative-concise-implementation-of-a-rule-based-dialog-system-in-f-sharp
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In this talk Allister Beharry offers an overview of Selma — a Web-based multimodal dialog agent for healthcare self-management written entirely in F# using WebSharper.
Rule-based chatbots and dialog agents are often derided as "state-machine spaghetti code" where implementations in imperative languages like Python and C# inevitably devolve into unmanageable tangles of nested conditional logic and state mutation. The trend nowadays is to use ML models instead of rule-driven systems. But rule-based dialog systems are inherently pattern-matching systems and languages that excel at pattern-matching may be able to avoid this exponential growth in complexity.
In this talk I'll give an overview of Selma — a Web-based multimodal dialog agent for healthcare self-management written entirely in F# using WebSharper.
The main topics of this talk are:
• Using WebSharper to build client-server CUIs in F#
• Using the Wit.ai service to extract and classify utterances into dialogue acts, intents, and entities.
• Using F# active patterns to compose type-safe rules over these structures that drive the dialogue.
• How an F# conversation agent compares to MS Bot Framework or ML-driven agents.
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