Implicit discourse relation identification method and system based on comparative learning and Adapter network
The invention provides an implicit chapter relation identification method and system based on comparative learning and Adapter network, and the method comprises the steps: obtaining a naturally-labeled explicit chapter relation instance, and carrying out the combined training of a conjunction classi...
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| creator | WU CHANGXING XIE ZIRUO LI XIONG XIONG JINHUI YAO HAO |
| description | The invention provides an implicit chapter relation identification method and system based on comparative learning and Adapter network, and the method comprises the steps: obtaining a naturally-labeled explicit chapter relation instance, and carrying out the combined training of a conjunction classification model through the classification cost and the comparative learning cost based on the obtained explicit chapter relation instance, and constructing an implicit chapter relationship recognition model based on the trained conjunction classification model and the Adapter network, optimizing the implicit chapter relationship recognition model based on the manually labeled implicit chapter relationship instance, and recognizing the category of the implicit chapter relationship instance based on the implicit chapter relationship recognition model. According to the method, the problems that in the existing pre-training stage, explicit chapter relation data of natural annotation is not fully and effectively utilize |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS |
| title | Implicit discourse relation identification method and system based on comparative learning and Adapter network |
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