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METHOD AND SYSTEM FOR AUTOMATING TRAINING OF NAMED ENTITY RECOGNITION IN NATURAL LANGUAGE PROCESSING
METHOD AND SYSTEM FOR AUTOMATING TRAINING OF NAMED ENTITY RECOGNITION IN NATURAL LANGUAGE PROCESSING
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机译:在自然语言处理中自动训练命名实体识别的方法和系统
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摘要
A method and system automates training named entity recognition in natural language processing to build configurable entity definitions includes receiving input documents or entities through an administration module and defining a domain for each entity. Further, one or more entities corresponding to the domain specific entity in the received documents are determined and a training file to one of pick a right parser, extract content and label the entity ambiguity is generated. One or more user actions are collected and maintained at a repository through a knowledge engine. Still further, one or more labelled ambiguous words are predicted and the knowledge engine is updated. Data may be fetched, through a training pipeline execution engine and each entity may be associated with one or more documents based on the fetched data from the document store to build configurable entity definitions.
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