{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9812127","patent":{"patent_number":"US-9812127","title":"Reactive learning for efficient dialog tree expansion","assignee":null,"inventors":[],"filing_date":"2016-04-29T00:00:00.000Z","publication_date":"2017-11-07T00:00:00.000Z","cpc_codes":["G10L","G06F","G06F"],"num_claims":18,"abstract":"A method for generating dialogs for learning a dialog policy includes, for each of at least one scenario, in which annotators in a pool of annotators serve as virtual agents and users, generating a respective dialog tree in which each path through the tree corresponds to a dialog and nodes of the tree correspond to dialog acts provided by the annotators. The generation includes computing a measure of uncertainty for nodes in the dialog tree, identifying a next node to be annotated, based on the measure of uncertainty, selecting an annotator from the pool to provide an annotation for the next node, receiving an annotation from the selected annotator for the next node, and generating a new node of the dialog tree based on the received annotation. A corpus of dialogs is generated from the dialog tree."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Reactive learning for efficient dialog tree expansion","description":"A method for generating dialogs for learning a dialog policy includes, for each of at least one scenario, in which annotators in a pool of annotators serve as virtual agents and users, generating a re","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9812127","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-9812127","citation_suggestion":"Patentable. \"Reactive learning for efficient dialog tree expansion\" (US-9812127). https://patentable.app/patents/US-9812127","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9812127","json":"https://patentable.app/api/llm-context/US-9812127","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T12:32:46.134Z"}