{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9720907","patent":{"patent_number":"US-9720907","title":"System and method for learning latent representations for natural language tasks","assignee":null,"inventors":[],"filing_date":"2015-09-14T00:00:00.000Z","publication_date":"2017-08-01T00:00:00.000Z","cpc_codes":["G06F"],"num_claims":20,"abstract":"Disclosed herein are systems, methods, and non-transitory computer-readable storage media for learning latent representations for natural language tasks. A system configured to practice the method analyzes, for a first natural language processing task, a first natural language corpus to generate a latent representation for words in the first corpus. Then the system analyzes, for a second natural language processing task, a second natural language corpus having a target word, and predicts a label for the target word based on the latent representation. In one variation, the target word is one or more word such as a rare word and/or a word not encountered in the first natural language corpus. The system can optionally assigning the label to the target word. The system can operate according to a connectionist model that includes a learnable linear mapping that maps each word in the first corpus to a low dimensional latent space."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"System and method for learning latent representations for natural language tasks","description":"Disclosed herein are systems, methods, and non-transitory computer-readable storage media for learning latent representations for natural language tasks. A system configured to practice the method ana","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9720907","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-9720907","citation_suggestion":"Patentable. \"System and method for learning latent representations for natural language tasks\" (US-9720907). https://patentable.app/patents/US-9720907","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9720907","json":"https://patentable.app/api/llm-context/US-9720907","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-06-06T14:38:31.341Z"}