{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11481416","patent":{"patent_number":"US-11481416","title":"Question Answering using trained generative adversarial network based modeling of text","assignee":null,"inventors":[],"filing_date":"2018-07-12T00:00:00.000Z","publication_date":"2022-10-25T00:00:00.000Z","cpc_codes":["G06F","G06F","G06F","G06F","G06N","G06N","G06N","G06N","G06N","G06N","G06N","G10L","G10L","G10L","G06N","G10L"],"num_claims":20,"abstract":"Mechanisms are provided for implementing a Question Answering (QA) system utilizing a trained generator of a generative adversarial network (GAN) that generates a bag-of-ngrams (BoN) output representing unlabeled data for performing a natural language processing operation. The QA system obtains a plurality of candidate answers to a natural language question, where each candidate answer comprises one or more ngrams. For each candidate answer, a confidence score is generated based on a comparison of the one or more ngrams in the candidate answer to ngrams in the BoN output of the generator neural network of the GAN. A final answer to the input natural language question is selected from the plurality of candidate answers based on the confidence scores associated with the candidate answers, and is output."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Question Answering using trained generative adversarial network based modeling of text","description":"Mechanisms are provided for implementing a Question Answering (QA) system utilizing a trained generator of a generative adversarial network (GAN) that generates a bag-of-ngrams (BoN) output representi","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11481416","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-11481416","citation_suggestion":"Patentable. \"Question Answering using trained generative adversarial network based modeling of text\" (US-11481416). https://patentable.app/patents/US-11481416","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11481416","json":"https://patentable.app/api/llm-context/US-11481416","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T01:59:03.019Z"}