首页|Patent Application Titled 'Utilizing Regular Expression Embeddings For Named Ent ity Recognition Systems' Published Online (USPTO 20240193158)
Patent Application Titled 'Utilizing Regular Expression Embeddings For Named Ent ity Recognition Systems' Published Online (USPTO 20240193158)
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Reporters obtained the following quote from the background information supplied by the inventors: “Named-entity recognition (NER), which may also be known as en tity identification, entity chunking, or entity extraction, may be a subtask of information extraction that aims to locate and classify named entity mentions in unstructured text or data into pre-defined categories, such as names, organizat ions, locations, medical codes, time expressions, quantities, monetary values, p ercentages, etc. “NER-based systems may be integrated in natural language processing (NLP) system s and may implement or utilize machine learning algorithms to process and analyz e plain text. Typically, many machine learning algorithms or deep learning archi tectures are incapable of processing plain text or text strings in their raw for m and may require numbers as inputs, e.g., classification, regressions, etc., to perform various tasks.
BusinessCapital One Services LLCCybo rgsEmerging TechnologiesMachine LearningNamed Entity Recognition