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JOINT EXTRACTION OF NAMED ENTITIES AND RELATIONS FROM TEXT USING MACHINE LEARNING MODELS
JOINT EXTRACTION OF NAMED ENTITIES AND RELATIONS FROM TEXT USING MACHINE LEARNING MODELS
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机译：使用机器学习模型联合提取名称实体和文本关系的关系
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摘要
Described herein are systems, methods, and other techniques for training a machine learning (ML) model to jointly perform named entity recognition (NER) and relation extraction (RE) on an input text. A set of hyperparameters for the ML model are set to a first set of values. The ML model is trained using a training dataset and is evaluated to produce a first result. The set of hyperparameters are modified from the first set of values to a second set of values. The ML model is trained using the training dataset and is evaluated to produce a second result. Either the first set of values or the second set of values are selected and used for the set of hyperparameters for the ML model based on a comparison between the first result and the second result.
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