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Training encoder model and/or using trained encoder model to determine responsive action(s) for natural language input
Training encoder model and/or using trained encoder model to determine responsive action(s) for natural language input
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机译:训练编码器模型和/或使用训练有素的编码器模型来确定自然语言输入的响应动作
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摘要
Systems, methods, and computer readable media related to: training an encoder model that can be utilized to determine semantic similarity of a natural language textual string to each of one or more additional natural language textual strings (directly and/or indirectly); and/or using a trained encoder model to determine one or more responsive actions to perform in response to a natural language query. The encoder model is a machine learning model, such as a neural network model. In some implementations of training the encoder model, the encoder model is trained as part of a larger network architecture trained based on one or more tasks that are distinct from a “semantic textual similarity” task for which the encoder model can be used.
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