{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11948058","patent":{"patent_number":"US-11948058","title":"Utilizing recurrent neural networks to recognize and extract open intent from text inputs","assignee":null,"inventors":[],"filing_date":"2018-12-11T00:00:00.000Z","publication_date":"2024-04-02T00:00:00.000Z","cpc_codes":["G06N","G06N","G06F","G06F","G06N","G06N","G06N","G06N","G06N","G06N"],"num_claims":20,"abstract":"The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize recurrent neural networks to determine the existence of one or more open intents in a text input, and then extract the one or more open intents from the text input. In particular, in one or more embodiments, the disclosed systems utilize a trained intent existence neural network to determine the existence of an actionable intent within a text input. In response to verifying the existence of an actionable intent, the disclosed systems can apply a trained intent extraction neural network to extract the actionable intent from the text input. Furthermore, in one or more embodiments, the disclosed systems can generate a digital response based on the intent identified from the text input."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Utilizing recurrent neural networks to recognize and extract open intent from text inputs","description":"The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize recurrent neural networks to determine the existence of one or more open intents in a text i","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11948058","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-11948058","citation_suggestion":"Patentable. \"Utilizing recurrent neural networks to recognize and extract open intent from text inputs\" (US-11948058). https://patentable.app/patents/US-11948058","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11948058","json":"https://patentable.app/api/llm-context/US-11948058","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T08:35:49.565Z"}